This document describes the development of a software solution called SolarHelper for sizing and monitoring solar photovoltaic (PV) power systems. SolarHelper can accurately simulate the required battery storage capacity and PV array size based on load demands for sizing. It also monitors and records vital system variables like voltage, current, temperature and light intensity to assess the performance and state of an existing solar PV installation. The software was developed using a microcontroller, monitoring circuitry, and a Java graphical user interface. Algorithms are presented for both the sizing and monitoring functions of the SolarHelper software.
This document provides an overview of artificial intelligence techniques and their applications in power systems. It discusses expert systems, artificial neural networks, and fuzzy logic systems as the three major AI techniques used. It describes how each technique works and its advantages/disadvantages. The document also gives examples of how these techniques can be applied in transmission lines, power system protection, and other areas like operations, planning, control, and automation of power systems. The conclusion states that while AI shows promise for improving power system efficiency and reliability, more research is still needed to fully realize its benefits.
This document provides an overview of mechatronic design concepts and the need for specialized design methodologies for mechatronic systems. It discusses how mechatronic systems integrate mechanical, electrical, and software engineering principles. The document also describes functional decomposition and representation techniques useful for conceptual mechatronic design, including functional design trees and Petri net models. Overall, the document emphasizes that mechatronic design requires multidisciplinary collaboration and specialized modeling approaches to integrate different engineering domains.
IOT BASED POWER GRID MONITORING & CONTROL SYSTEMvivatechijri
Energy generation corporations provide electricity to any or all the households via intermediate controlled power transmission hubs referred to as Electricity Grid. Generally issues arise thanks to failure of the electricity grid resulting in black out of a complete space that was obtaining provide from that individual grid. This project aims to resolve this downside victimization IOT because the means that of communication and conjointly coping with numerous alternative problems that a wise system will traumatize to avoid needless losses to the Energy producers.
A continuous and reliable supply of electricity is necessary for the functioning of today’s modern and advanced society. Since the early to mid1980s, most of the effort in power systems analysis has turned away from the methodology of formal mathematical modelling which came from the areas of operations research, control theory and numerical analysis to the less rigorous and less tedious techniques of artificial intelligence (AI). Power systems keep on increasing on the basis of geographical regions, assets additions, and introduction of new technologies in generation, transmission and distribution of electricity. AI techniques have become popular for solving different problems in power systems like control, planning, scheduling, forecast, etc. These techniques can deal with difficult tasks faced by applications in modern large power systems with even more interconnections installed to meet the increasing load demand. The application of these techniques has been successful in many areas of power system engineering.
This document outlines the principal elements of mechatronics systems:
- Mechanical elements include the mechanical structure, mechanisms, thermo-fluid and hydraulic aspects that allow a system to produce motion, force and heat through physical interaction with the environment.
- Electro-mechanical elements refer to sensors that can measure physical variables like light, sound, pressure and temperature, as well as actuators that apply commanded actions like movement, lighting and heating.
- The control interface/computing hardware elements allow analog and digital conversion to facilitate communication between sensors, computers and actuators through devices like AD/DA converters, microprocessors and data acquisition boards.
Automated Solar Tracking System for Efficient Energy Utilizationvivatechijri
This paper proposes a project that involves an automated solar tracking system which will make use
of LDR’s to track the position of sun. The output of LDR’s will be compared and analyzed to provide correct
alignment of the solar panel. Also another tracking technique is being implemented along, which uses the relation
of sun earth position at a given location. This telemetric data is given to microcontroller which will drive the
motors to align the solar panel. This is useful during cloudy weather and rainy days when it is difficult to check
the position of sun. Solar panels give output efficiency of around 15% to 20% based on the type of panel. The use
of solar tracking system increases it to a range of about 30% to 35%. This project further involves use of reflective
sheets on the sides of solar panel which will concentrate the reflected rays on the panel. Due to this the efficiency
is further increased around 40%. This project is a cost effective solution for stationary solar systems to increase
efficiency.
Real time energy data acquisition and alarming system for monitoring power co...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Real time energy data acquisition and alarming system for monitoring power co...eSAT Journals
Abstract Manufacturing and the processes involved consume substantial amounts of energy. There can be requirement of energy management technique in the power tool manufacturing industry. The maintenance department in power tool manufacturing industry may have different load centers like machine shop, winding shop, utility and assembly shop etc. Readings on these meters are taken manually. This process is time consuming and has inefficient accuracy. So, there can be need of computerized energy data acquisition system. By providing an alarming system the energy losses will be monitored. Through this system design, there will be automatic elimination of man-made errors, reading energy consumption report through Microsoft excel as well as firing through email. Keywords: Energy losses, Microcontroller, RS 232 and PC
This document presents a preliminary study on developing a Wide Area Protection Monitoring System (WAPMS) that would automatically collect and analyze data from protection devices. The proposed system would gather information through various communication protocols, analyze the data to determine fault types and locations, and generate reports with diagnoses for operators. This would provide operators a comprehensive overview of the power system's behavior during faults to help make better decisions. The system is currently being tested in Colombia and future work involves predictive analytics to identify potential protection device failures.
Solar panel monitoring solution using IoT-Faststream TechnologiesSudipta Maity
Faststream Technologies offers an automated IOT based solar panel monitoring/troubleshooting system that allows for automated solar panel monitoring from anywhere over the internet. As part of our solution, we make use of several IoT gateways suitable for different needs, based on SoCs like STM32, ESP32, ublox, CC3200, SiliconLabs, to monitor the solar panel parameters, in turn, providing Solar Plant Insights.
Our system constantly monitors the solar panel and transmits various parameters to the Cloud over the IoT system. Here we make use of the IoT platform to transmit solar power parameters to Amazon/ Azure cloud /IOT server via the gateway (over WiFi and Ethernet). A powerful web interface allows viewing of data in meaningful formats, enabling users to make decisions.
Monitoring and Control of Solar Power System using Reliance SCADAijtsrd
This system presents the monitoring and control of real time data acquisition of a solar power system in reliance SCADA. SCADA supervisory control and data acquisition systems are currently employed in many applications, such as home automation, greenhouse automation, and hybrid power systems. Commercial SCADA systems are costly to set up and maintain therefore those are not used for small renewable energy systems. This system demonstrates applying Reliance SCADA and Arduino Uno on a small photovoltaic PV power system to monitor the current, voltage, of the PV and battery and also control the load from SCADA. The designed system uses low cost sensors, an Arduino Uno microcontroller, and free Reliance SCADA software. The Arduino Uno microcontroller collects data from sensors and communicates with a computer through a USB cable. Uno has been programmed to transmit data to Reliance SCADA on PC. In addition, Modbus library has been uploaded on Arduino to allow communication between the Arduino and our SCADA system by using the MODBUS RTU protocol. The results of the experiments demonstrate that SCADA works in real time and can be effectively used in monitoring a solar energy system. Khin Pyone Ei Aung | Nyan Phyo Aung | Lwin Lwin Htay "Monitoring and Control of Solar Power System using Reliance SCADA" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26459.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26459/monitoring-and-control-of-solar-power-system-using-reliance-scada/khin-pyone-ei-aung
Hardware and software efficient energy management system of a smart micro-grid
•Energy production from renewable sources
•It system for monitoring and measurement of energy consumption
•Web interface for remote management
•Software for prediction of energy consumption based on the user habits
•Automatic adaptation of the energy production system operative parameters according to the values calculated by the prediction software
The document discusses an introduction to mechatronics, which is an interdisciplinary field that focuses on integrating mechanical engineering with electronics and computer control systems. It covers topics like the definition of mechatronics, applications in various systems, sensors and transducers, open and closed loop control systems, and performance terminology for systems. The overall goal of the course is to discuss integrating electronics, electrical, computer and control systems with mechanical and sensor technologies.
Efficient Energy Management System with Solar EnergyIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
This document provides syllabus information for the Engineering Knowledge Test (EKT), which is aimed at testing basic engineering knowledge of candidates applying for Aeronautical Engineering courses. It outlines the structure and topics covered in the general engineering section and specialized sections for various disciplines, including Aeronautical Engineering (Mechanical). The general engineering section covers topics such as physics, chemistry, mathematics, computers, electrical engineering, electronics, and mechanical engineering. The Aeronautical Engineering (Mechanical) specialized section covers topics in flight mechanics/aerodynamics, thermodynamics, engineering materials, structures, and propulsion. The test contains both objective and subjective questions and passing both the general and specialized sections is required to qualify for further interviews.
IRJET- An Exclusive Review on IoT based Solar Photovoltaic Remote Monitoring ...IRJET Journal
This document describes an IoT-based system for remotely monitoring and controlling a solar photovoltaic unit. It discusses challenges with existing solar panel systems like downtime and difficulties with maintenance. The proposed system uses sensors to measure the output voltage of a solar panel located remotely. An IoT network transmits the sensor data to a server, allowing users to access the output measurements via unique IP addresses. Relay circuits and boards are also used to enable remote control of the solar panel outputs. This makes monitoring and control more efficient through the IoT system.
This document discusses various approaches to mechatronic system design, including:
1) Constraint modeling, which involves classifying constraints between mechanical and electrical components and indicating how attributes affect each other.
2) Bond graph modeling, which treats subsystems as reusable objects that can be interconnected.
3) Declarative and procedural modeling languages, with declarative being preferred for reusability.
4) Collaborative modeling to support multidisciplinary design teams through shared models, repositories, and abstraction capabilities.
The document provides an overview of mechatronics. Some key points:
- Mechatronics is a multidisciplinary field that combines mechanical engineering, electronics, and computer science. It aims to design and manufacture products like smart machines.
- A mechatronic system integrates sensors to collect input data, microprocessors to analyze/control the system, and actuators to respond accordingly. Common examples are robots, automobiles, and factory automation equipment.
- Mechatronic systems have evolved from basic integration of electrical/mechanical components to "smart systems" using microprocessors and advanced control strategies. This enables more intelligent, autonomous behavior.
Artificial intelligence in power systems seminar presentationMATHEW JOSEPH
The document discusses the use of artificial intelligence techniques like expert systems, artificial neural networks, and fuzzy logic in power systems. It provides examples of how each technique can help with tasks like fault detection, improving transmission line performance by adjusting parameters, and automated decision making. Current applications of AI in power systems include operations, planning, control, market strategies, and automation of various functions to improve reliability and reduce costs. Further research is still needed to fully leverage AI across all aspects of modern power systems.
The document provides an overview of key elements and components of mechatronic systems. It discusses actuators, sensors, input/output signal conditioning and interfacing, digital control architecture, displays, intelligent systems, reconfigurable systems, autonomous supervisory control, artificial intelligence, knowledgebases, decision support systems, diagnosis, and faults, failures, and safety. The principal components of mechatronic systems are actuators, sensors, and a digital control system that integrates mechanical and electronic components to control an electromechanical process or device.
IRJET- IoT based Energy Management System Including Renewable Energy using Ar...IRJET Journal
This document presents a proposed Internet of Things (IoT) based energy management system for homes that includes renewable energy sources using Arduino and ZigBee technology. The system monitors energy consumption and generation from sources like solar panels in order to optimize energy usage and costs. It consists of energy monitoring modules, an Arduino controller, ZigBee for wireless communication, and a home server to analyze energy data and control loads. The system is able to track energy usage patterns, estimate generation from weather forecasts, and schedule loads to minimize costs while meeting energy demands based on available renewable sources. Experimental results showed the system able to automatically turn loads on/off based on available energy and provide energy monitoring information through connected devices.
IRJET- Solar Power Monitoring System using IoTIRJET Journal
This document describes a solar power monitoring system using IoT technology. The system uses an ATmega 328 microcontroller to monitor the voltage, current and power output of solar panels. It then transmits this data wirelessly to an IoT platform called Thingspeak using an ESP8266 WiFi module. On Thingspeak, the data can be analyzed to monitor the solar plant's performance over time and detect any faults. This allows remote monitoring of solar plants from any location over the internet for improved maintenance and efficiency.
This document summarizes a proposed cognitive energy distribution system for India. The system uses power line communication between electronic energy meters and coordinators. Meters communicate meter readings to coordinators via PLC, and coordinators upload data to a central database via GPRS. The system allows for remote meter reading and monitoring to reduce energy theft and inefficiencies. It also enables features like critical and non-critical load control, dynamic tariffs based on demand, and energy demand prediction to improve distribution system stability and reliability.
This is a complete automated solution for the existing energy distribution and monitoring system in
India,which can monitor the meter readings continuously and take necessary actions to maintain the power
grid stable. A Power Line Communication (PLC) based modem is integrated with each electronic energy
meter. Through PLC the meters communicate with the coordinator. Coordinator makes use of GPRS modem
to upload/download data to/from internet. A personal computer with an internet connection at the other end,
which contains the database acts as the billing point. Live meter reading sent back to this billing point
periodically and these details are updated in a central database. An interactive, user friendly graphical
interface is present at user end. All the energy logs, notices from the Government, billing details and average
statistics will be available here. The system splits the loads into critical loads and non critical loads. This
makes the distribution system more intelligent. More over prior information about the power cuts can be
done. We can easily implement many add-ons such as energy demand prediction, real time dynamic tariff as
a function of demand and supply and so on.
This is a complete automated solution for the existing energy distribution and monitoring system in
India,which can monitor the meter readings continuously and take necessary actions to maintain the power
grid stable. A Power Line Communication (PLC) based modem is integrated with each electronic energy
meter. Through PLC the meters communicate with the coordinator. Coordinator makes use of GPRS modem
to upload/download data to/from internet. A personal computer with an internet connection at the other end,
which contains the database acts as the billing point. Live meter reading sent back to this billing point
periodically and these details are updated in a central database. An interactive, user friendly graphical
interface is present at user end. All the energy logs, notices from the Government, billing details and average
statistics will be available here. The system splits the loads into critical loads and non critical loads. This
makes the distribution system more intelligent. More over prior information about the power cuts can be
done. We can easily implement many add-ons such as energy demand prediction, real time dynamic tariff as
a function of demand and supply and so on.
IRJET- Power Monitoring with Time Controlling & Data LoggingIRJET Journal
This document describes a power monitoring system that measures and logs the power consumption of electrical devices. The system uses a current sensor to measure current, which is sent to an Arduino microcontroller. The Arduino calculates power consumption based on current and voltage. Data on power usage is sent wirelessly to a database on ThingSpeak using an ESP8266 WiFi module. The system allows setting timers to automatically turn devices off after a certain time period. This helps save energy. The system was tested on various loads and accurately measured and logged their power usage over time to the ThingSpeak database.
Web Server Based Solar Parameters Monitoring using Arduinoijtsrd
Nowadays renewable energy systems are becoming best way to generate electricity. With advancement of technologies the cost of renewable energy equipment is going down globally encouraging large scale solar photovoltaic installations. Major part of renewable energy is solar energy. The implementation of new cost effective methodology based on technology to monitor a solar parameters for performance evaluation using open source tools and resources like Arduino and local Web Server which provides data on Web to monitor the parameters. Local Web provides all services for free of cost and monitoring can saves lot of investment on Web designing and maintenance. This focus on low cost system with easy interface so that common people who installs roof top solar plants also monitors easily without depending on service providing companies. This will facilitate preventive maintenance, fault detection of the solar panel in addition to real time monitoring. This research details the development of an open source device to monitoring system for remote solar panel systems. Nyan Phyo Aung | Mo Mo Myint Wai | Lwin Lwin Htay | Kyawt Kyawt San "Web Server Based Solar Parameters Monitoring using Arduino" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25249.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/25249/web-server-based-solar-parameters-monitoring-using-arduino/nyan-phyo-aung
IRJET- Energy Meter Reading over InternetIRJET Journal
1. The document proposes a system to remotely read energy meter readings over the internet using IoT technology. It uses sensors to detect voltage and current flowing to appliances, an Arduino board to collect and transmit data, and a GSM module for internet connectivity. Data is sent to a cloud server database.
2. A user portal allows customers to access their energy consumption data, billing information, and pay bills online. This system aims to reduce manual meter reading work and human errors by automating the process using IoT.
A STUDY OF IOT BASED REAL-TIME SOLAR POWER REMOTE MONITORING SYSTEMijasa
We have Developed an IoT-based real-time solar power monitoring system in this paper. It seeks an opensource IoT solution that can collect real-time data and continuously monitor the power output and environmental conditions of a photovoltaic panel.The Objective of this work is to continuously monitor the status of various parameters associated with solar systems through sensors without visiting manually, saving time and ensures efficient power output from PV panels while monitoring for faulty solar panels, weather conditionsand other such issues that affect solar effectiveness.Manually, the user must use a multimeter to determine what value of measurement of the system is appropriate for appliance consumers, which is difficult for the larger System. But the Solar Energy Monitoring system is designed to make it easier for users to use the solar system.This system is comprised of a microcontroller (Node MCU), a PV panel, sensors (INA219 Current Module, Digital Temperature Sensor, LDR), a Battery Charger Module, and a battery. The data from the PV panels and other appliances are sent to the cloud (Thingspeak) via the internet using IoT technology and a Wi-Fi module (NodeMCU). It also allows users in remote areas to monitor the parameters of the solar power plant using connected devices. The user can view the current, previous, and average parameters of the solar PV system, such as voltage, current, temperature, and light intensity using a Graphical User Interface. This will facilitate fault detection and maintenance of the solar power plant easier and saves time.
IRJET- Design and Implement Mechanism for Efficient Energy Meter using IoTIRJET Journal
This document describes a proposed smart electricity meter system using IoT. The system would automate the manual process of monthly electricity bill calculation and reading. Sensors in the electricity meter would collect real-time energy consumption data and send it wirelessly to a centralized system. This would make the billing process more accurate and efficient by eliminating human error. It could also provide load monitoring to strengthen the electricity distribution system based on usage patterns. The proposed system aims to reduce costs for utilities while providing users with more control over their electricity usage and billing.
IOT BASED ENERGY PREDECTION AND THEFT PROTECTED AUTOMATIC SOLAR TRACKER SYSTEMIRJET Journal
1. The document describes an IoT-based solar tracking system that increases solar panel efficiency by keeping the panel aligned with the sun.
2. It uses light dependent resistors and a microcontroller to sense the sun's position and direct a motor to adjust the panel's orientation accordingly.
3. The system also includes features like energy prediction using past voltage data, facial recognition for emotion analysis, and SMS alerts to detect potential theft.
The document describes a power consumption alert system that aims to make consumers aware of their electricity usage and costs. The system monitors energy consumption using a sensor connected to the energy meter. It sends usage data to a microcontroller that determines costs and compares it to a threshold. When the threshold is reached, the consumer is notified via SMS and a mobile/web app that generates daily, weekly, and monthly usage reports. The system cuts power if the maximum limit is exceeded and notifies the consumer. It aims to help consumers reduce electricity bills and curb unusual power usage, benefiting both consumers and the government.
1) The document discusses various strategies for monitoring solar panels using Internet of Things (IoT) technology to effectively convert solar energy to electrical energy.
2) It describes approaches using photovoltaic panels connected to sensors, microcontrollers, and IoT modules to track performance metrics like voltage and current. The data is transmitted to the cloud for remote monitoring and analysis.
3) Strategies discussed include using Arduino and Raspberry Pi boards to send sensor readings via APIs to cloud services like ThingSpeak. This allows real-time monitoring of solar panel output from any location.
IRJET- A Smart Monitoring System for Hybrid Energy System using IoTIRJET Journal
This document describes a smart monitoring system for a hybrid energy system using IoT. The system uses solar and wind energy sources and can switch between them without inconvenience through an Android app and WiFi module. An ESP32 microcontroller module transmits and receives electrical data wirelessly from the app and monitors the system. Users can control the energy sources remotely through the app in a flexible and secure manner. The system provides an efficient, cheaper, and flexible way to control hybrid energy sources manually and remotely.
A Review on Energy Consumption Monitoring and Analysis SystemIRJET Journal
This document discusses energy consumption monitoring and analysis systems. It begins with an abstract that outlines the phases of an energy audit from basic walkthrough surveys to complex modeling. It then discusses remote monitoring systems using wireless sensors for industries. The paper reviews available solutions and research being done to improve these systems. It provides details on how energy management systems work, including using multifunctional energy meters, data loggers, and monitoring software to analyze energy usage data from industries in order to identify opportunities to reduce consumption. Charts and figures are included to illustrate typical energy reports.
Internet of things-based photovoltaics parameter monitoring system using Node...IJECEIAES
The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature for remote monitoring, supervising, and performance evaluation. Furthermore, it improves the long-term viability, consistency, efficiency, and system maintenance of energy production. However, previous researchers' proposed PV monitoring systems are relatively complex and expensive. Furthermore, the existing systems do not have any backup data, which means that the acquired data could be lost if the network connection fails. This paper presents a simple and low-cost IoT-based PV parameter monitoring system, with additional backup data stored on a microSD card. A NodeMCU ESP8266 development board is chosen as the main controller because it is a system-on-chip (SOC) microcontroller with integrated Wi-Fi and low-power support, all in one chip to reduce the cost of the proposed system. The solar irradiance, ambient temperature, PV output voltage and PV output current, are measured with photo-diodes, DHT22, impedance dividers and ACS712. While, the PV output power is a product of the PV voltage and PV current. ThingSpeak, an opensource software, is used as a cloud database and data monitoring tool in the form of interactive graphics. The results showed that the system was designed to be highly accurate, reliable, simple to use, and low-cost.
IRJET- IOT Based Residence Energy Control SystemIRJET Journal
This document describes an IoT-based home energy control system called RECoS that aims to minimize home energy consumption. The system uses smart sockets connected to appliances via Zigbee communication. It monitors energy usage in real-time and uses a backpropagation neural network algorithm to learn usage patterns and set adaptive energy limits to automatically shut off devices during idle periods. Experimental results found the system could reduce total home energy usage by around 45% per week. The system provides remote monitoring of appliance energy usage via a mobile app and cloud server.
PROTOTYPE OF IOT BASED DC MICROGRID AUTOMATIONIRJET Journal
This document describes a prototype of an IoT-based DC microgrid automation system. The system monitors the performance of a DC microgrid and automatically isolates loads during overvoltage or undervoltage conditions. It uses renewable energy sources like solar panels and a DC motor to generate power. Sensors monitor the supply and load voltages, which are displayed on a Blynk mobile application. The system aims to improve energy efficiency and reliability by selecting power sources and isolating loads during faults. When voltage thresholds are exceeded, the microcontroller switches loads to different power sources using relays. This ensures safe and automated operation of the microgrid.
IRJET - Smart Power Monitoring and Controlling through IoTIRJET Journal
The document describes a smart power monitoring and controlling system using IoT. The system uses sensors to monitor power consumption from appliances. It sends the power data to a cloud server using WiFi. This allows users to access the data and control appliances remotely through a mobile app. The system aims to reduce wastage by automatically turning off appliances when not in use, and allowing users to set power limits.
DESIGN AND IMPLEMENTATION OF A WIRELESS SENSOR AND ACTUATOR NETWORK FOR ENERG...ijesajournal
This document describes the design and implementation of a wireless sensor and actuator network for monitoring home energy usage. The network includes energy measurement nodes that read the energy usage of connected appliances and report readings to a central server in real-time. The server displays readings through a visual interface, allowing users to understand usage patterns and reduce energy consumption. Users can also remotely power appliances on/off through the network to control energy usage. The system was designed and tested with two measurement nodes, one central server, and communication within 15 meters to allow inexpensive home energy monitoring and control.
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Development of a software solution for solar pv power systems sizing and monitoring
1. INTERNATIONAL JOURNAL of RENEWABLE ENERGY RESEARCH
I.A. Odigwe et al. ,Vol.3, No. 3
Development of a software solution for solar-PV
power systems sizing and monitoring
I.A. Odigwe*‡
, C.I. Nnadi*, A.F. Agbetuyi*, A.A. Awelewa*, F.E. Idachaba*
*Department of Electrical and Information Engineering, Covenant University, P.M.B 1023, Ota, Ogun State, Nigeria.
(ani.odigwe@covenantuniversity.edu.ng, chidiebere.nnadi@gmail.com, ayo.agbetuyi@covenantuniversity.edu.ng)
‡
Corresponding Author; I.A. Odigwe, Department of Electrical and Information Engineering, Covenant University, P.M.B
1023, Ota, Ogun State, Nigeria, Tel: +234 803 821 1387, ani.odigwe@covenantuniversity.edu.ng
Received: 30.07.2013 Accepted: 29.08.2013
Abstract- Power systems sizing and monitoring are very important design components in determining the overall performance
of solar-photovoltaic (PV) systems. These design components represent the pre-installation and post-installation stages of
solar-PV systems planning respectively, and paying adequate attention to them can go a long way to increasing the working
life of solar-PV system installations. The SolarHelper developed in this work is a small software solution package that
monitors and records vital system variables that will give the state and performance of an existing solar-PV installation at any
given time; and it is able to accurately provide a simulated output of the required battery storage capacity, and PV array size
based on load demands.
Keywords- Interfacing, Microcontroller, Monitoring, Sizing, Software Solution Package, Solar-PV System.
1. Introduction
A solar-PV system or PV power system is one of the
many renewable energy options for distributed power
generation. The reliability of the system makes it suitable for
use in a wide range of applications such as residential,
commercial, industrial, agriculture, etc. Solar electric
systems majorly comprise an array of PV panels, inverters,
charge controllers, and battery storage banks. Each of these
individual components with their specifications play a very
important role in the overall performance of any installed
solar-PV system.
The main objective of solar-PV systems design and
planning is to accurately choose and size the components of
the standalone system installation as required. The system
sizing implies deciding and determining the least possible
number and type of solar modules required to capture enough
solar energy that is then converted to electric energy to
supply the required load demands, the battery capacity that
will be able to store enough electric charge for a number of
days when solar radiation is minimal, and the characteristics
of the rest of the components that integrate the PV system
(e.g. charge controllers, cables, and inverters) [1]. Unlike the
HOMER optimization model [2] that obtains optimum
design results of energy systems on techno-economic bases,
the SolarHelper developed in this study is based only on load
demands. The system sizing calculations are important
because proper sizing of the system components ensure
energy balance during operation. Solar-PV systems are
designed for certain consumptions and if the user exceeds the
designed limits constantly, the provision of energy will fail.
PV system monitoring on the other hand is one of the
needed activities carried out on an existing installation so as
to monitor vital system variables for easy control and
maintenance. Awareness of important variables surrounding
the usage, statistics and performance indices of the system
can aid in early fault detection as well as extended life span
of the system [3]. With a monitoring system in place, users
can know immediately when the system has been
compromised. Otherwise, it could take weeks or months
before it is realised that the solar electricity system is no
longer producing enough power. A study by solar experts
concluded that about half of all solar power systems are
working less optimally as they should, and this has led to
around 20% of a year’s solar electricity being lost [3].
According to Ref. [3], solar electric systems that are hooked-
up to monitoring systems have 10% rise in energy production
over systems that are not hooked-up to monitoring systems.
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This study presents the SolarHelper, a small software
solution package designed to tackle the two phases of Solar-
PV system design and monitoring to considerable levels
using available technology and a straight forward approach.
2. Methodology
The software solution developed is designed for two
major functionalities as stated and each individual function is
tackled separately. A general classification would be to
divide the system into software and hardware functions.
Software functions include PV system design and
microcontroller-software interfacing, while Hardware
functions include the microcontroller-monitoring circuitry
interface. The block diagram of Fig. 1 shows this.
3. Hardware Interfacing
Fig. 2 shows the hardware circuit diagram with all the
parts and connecting arrows to system components clearly
indicated.
3.1. The Microcontroller Hardware Circuitry
The Microcontroller used is an Arduino Duemilanove, a
microcontroller development board based on the ATMEL
ATMEGA328 microcontroller. The microcontroller stands as
the processing unit for the measurement circuitry and
constitutes a major part of the monitoring system. It is part of
the hardware circuitry that connects to the PC via a serial
port (USB A-B cable). Part of its functions is to read and
format the data periodically before getting to the Java GUI
for display.
As part of the functional requirements for the monitoring
system, we expect that the software would be able to
measure/monitor the following:
The voltage across the terminals of the solar panel
(up to 20V).
The battery voltage at any particular time (up to
15V).
The current flowing in the system.
The ambient temperature of the surrounding
environment.
The light intensity of the area.
The corresponding output power of the solar panel.
The state of the charge controller.
The monitoring circuitry connected to the
microcontroller constitutes components that carry out all the
necessary measurements and signal conditioning. The
voltage measurements are generally carried out using a
simple potential divider method through a series of 1kΩ
resistors to drop the system voltage level to 5V, an
acceptable input to the microcontroller with a design current
of about 10mA. Temperature measurement is carried out
using a LM35 precision centigrade sensor, being able to give
voltage readings from 0o
C to beyond 150o
C. Light intensity
measurement is carried out using a light dependent resistor
(LDR) circuitry. Current measurement is carried out using a
current sensor. Power consumption measurement is simply
the product of the measured current and the terminal voltage.
4. Software Interfacing
At the junction of data collection, conditioning and
processing, it is required that the data is transmitted to the PC
for user-friendly display. Due to Java’s platform-
independence, serial interfacing is difficult. Serial interfacing
requires a standardised API with platform-specific
implementations, which is difficult for Java [4].
Serial Interfacing is actually done via the Rx (D0) and Tx
(D1) pins of the Arduino microcontroller which by default
route through the USB port. Information transferred is
understood by the computer and made available on the
configured COM port. The RxTx Java library enables access
of information on the serial port in the Java program. The
process of information acquisition is made possible via a
serialPortListener action listener which is triggered each
time there is information available on the port. Some
methods available in the RxTx package, specifically the
InputStream input.available( ), pulls information from the
input stream of the COM port to the input stream of the Java
program as stream bytes. This information is encoded as a
string before processing begins. Before information
transmission, the microcontroller is able to send multiple
readings by making use of a delimiter between each of the
readings. Java is able to process the delimiter and extract the
necessary information in the proper sequence using regular
expression or just usual string manipulation methods [5].
Java Software
File System
(Data Logging)
Monitoring Circuitry
(Voltage, Current,
Temperature, and Light
Intensity Measurements)
Arduino
Microcontroller
(ADC, USB Interfacing Adapter)
Hardware Function
Software Function
SQLite Database
(RDBMS and Information
Storage System)
Fig. 1. Block diagram representing entire system
configuration
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Fig. 2. Hardware circuit diagram
5. Development of the Sizing and Monitoring
Algorithms
5.1. System Sizing Models
Several PV system sizing algorithms exist that are able
to guide as to how to design a solar-PV system to give
optimum performance [6-13]. Most of these algorithms are
based on either cost or performance. The algorithm presented
here is a procedural approach that works based on the worst
month method [1] for PV system sizing. The method makes
the best PV system size estimates by using the month in the
year with the least amount of average solar insolation. This is
an especially effective method for systems which are capable
of working autonomously for long periods and for areas
where the weather conditions are unpredictable. Load data
are collected along with their corresponding usage profiles.
All daily load demands are assumed constant. The
relationship between consumption and time is linear [14].
The total daily energy demand in kilowatt-hour (kWh) is
the algebraic sum of the product of power consumption and
the average daily usage time for each individual load. This is
mathematically expressed [6] as:
∑ (1)
where is the total daily energy demand, is the
power consumed by appliance , is the time of appliance
usage, and is the number of appliances. Equation (1) is the
total energy demand from both AC and DC loads.
Considerations include Loss estimates, Load factor, and
Tracking compensation.
The system loss estimates is a justification that not all
the energy produced by the modules will be available for use
in the system, as some will be lost in the cables, batteries,
charge controllers and inverters. DC energy losses account
for losses in the cables, batteries, and charge controllers;
while the AC energy losses are as a result of additional losses
in the inverters. Equation (2) gives the total loss estimates as:
[ ] [ ] (2)
where is the total loss estimates, is the DC
energy loss estimate, is the total DC load
demand, is the AC energy loss estimate, and
is the total AC load demand.
Therefore, the total daily system energy requirement is
given by equation (3) as:
(3)
where is the system design load, and is the
load factor. The load factor takes into consideration any
system overload imposed on the PV system.
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The entire algorithm is carried out in twelve simple steps
[15, 16] as enumerated below:
Step 1: Compute Total Energy Demand. Equation
(1) shows the mathematical expression.
Step 2: Estimate System Energy Losses.
Step 3: Calculate the System Design load using the
load factor and losses.
Step 4: Choose System Design Voltage for the
system (usually the highest DC voltage in the
system).
Step 5: Obtain daily charge requirements – this is
obtained using the system design load and the
system design voltage. It is a pointer to the size of
the battery bank and the number of solar panels
required.
Step 6: Charge produced by PV array per day must
equal or exceed daily charge requirements.
Step 7: Obtain worst month from the meteorological
data.
Step 8: Tracking compensation considerations are
applied to the worst month value if necessary to
obtain the design solar insolation value.
Step 9: Divide daily system charge requirement by
design solar insolation value to obtain system design
charging current.
Step 10: To obtain the total battery charge capacity
required, multiply daily system charge requirements
by number of autonomy days and divide by
maximum battery depth of discharge.
Step 11: The number of Batteries is obtained by
dividing total battery charge capacity requirement
by the charge capacity of the selected battery.
Step 12: The number of series-parallel connections
of batteries and solar modules is obtained by
comparing the output current and voltage of
modules to the system design charging current and
voltage, and making sure the array sum is larger
than the design values.
The following steps give an estimated PV panel sizing as
well as the battery capacity to be used for energy storage
considering a specified number of days when total
dependence will be on the solar-PV system. The flow chart
algorithm is as shown in Fig. 3.
In Step 5, the daily charge requirement is expressed in
equation (4) as:
(4)
where is the system design voltage chosen for the
PV system.
Step 6 sets a design constraint on the PV system to
ensure that the charge produced by PV array per day must
equal or exceed the daily charge requirements. This is given
in equation (5) as:
(5)
where is the charge produced daily by the PV
panel, and is the daily charge requirements.
In Step 8, the tracking compensation consideration is
applied to the worst month insolation value to get the design
solar insolation value expressed in equation (6) as:
(6)
where is the minimum monthly average insolation
value within the period, and is the tracking compensation
factor for the solar panels.
The design charging current in Step 9 is calculated using
equation (7) given as:
(7)
The total battery charge capacity required is obtained
sing equation (8).
(8)
where is the number of autonomy days, and is
the maximum depth of discharge of the batteries.
The number of batteries is obtained in Step 11 as:
(9)
where is a selected battery charge capacity.
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Compute Total Energy
demand in kWh ( Etotal )
Estimate System Energy Losses
Eloss = ( floss % × Etotal )
Calculate Design Load considering
Losses and Load Factor
Edesign = (Etotal × fload %) + Eloss
Choose the system design voltage
(Usually the highest DC Voltage)
(Vdesign)
Obtain daily charge requirements.
Quotient of design load and design
voltage
( Ahdaily = Edesign / Vdesign )
Charge produced by the PV array
should be greater than or equal
the daily charge requirements.
( AhPv ≥ Ahdaily )
Analyze insolation data and
obtain worst month
(Inmin )kwh/m2
Tracking compensation
considerations are applied to the
worst month value to obtain the
design solar insolation value.
Indesign = Inmin + (Inmin × Tc)
Divide Daily system charge
requirement by design solar
insolation value to obtain system
design charging current.
Icharging = Ahdaily / Indesign
Is tracking used?
Tc = 0?
Obtain the total battery charge capacity required by multiplying
daily system charge requirements by number of autonomy days
and dividing by maximum depth of discharge of the battery
Ahtotal = (Ahdaily × n) / DoD
The number of batteries is obtained by dividing
total battery charge capacity requirement by the
charge capacity of the selected battery.
nbatteries = Ahtotal / Ahselected
The number of series-parallel connections of batteries and
solar modules is obtained by comparing the output current
and voltage of modules to the system design charging
current and voltage, and making sure the array sum is
larger than the design values.
Start
End
Yes
No
Fig. 3. Flow chart algorithm for systems sizing
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5.2. System Monitoring and Control
The monitoring and control interface contains functions
to communicate with the Arduino microcontroller via the
serial port and display the information on the screen. This
process is carried out via the Java RxTx library which
contains function to interface with local COM ports on the
system [17]. The Java RxTx library is embedded in the Java
program and an action listener is configured so as to perform
a function each time the serial port has been given
information(serial port is available). As shown in the flow
chart algorithm of Fig. 4, the serial port is continuously
probed for information and depending on the user; this
process can be activated or deactivated at any given time.
Start
Look for serial
port
Serial port
found?
Display
Interface
Try again?
Check serial
port for
information
Serial port available
& has information?
Display
information in
Interface
End?
End
Yes
Yes
Yes
Yes
No
No
No No
Fig. 4. Flow chart algorithm for systems monitoring
6. Results and Discussions
Software development generally involves development
of a solution that can be used by users to perform a
predefined set of task (also known as the functional
requirements). Some of the functional requirements of the
product developed include:
Ability to perform basic PV system sizing/design
for a large load database using the worst month
method.
Ability to interface with a hardware monitoring
circuit and display the readings on the user
interface.
Ability of the software to save records (in form of
files) for users who use the software. Users have the
ability to create a design file and edit it over time.
Ability to perform simulation of solar-PV systems.
The software design was done over a period of about
three months which included development of the user
interface as well as the database to handle data storage. A
substantial amount of this time went into debugging the
software and ensuring that all the functionalities were
properly implemented. To this end, all the requirements were
implemented as expected.
The SolarHelper software designed in this work is
integrated with an existing solar-PV system. The test results
were successful as expected. At this point the solar-PV panel
voltage was measured and variations were noted as weather
conditions changed. Monitoring interfaces and simulation
test results are shown in the figures 5-12.
6.1. User Interface
The user interface introduces a platform for the users of
the SolarHelper software for input and output of data. All the
functions proposed were included in the user interface and
were programmed accordingly.
Fig. 5. Home screen of the SolarHelper software
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Fig. 6. Monitoring and control workstation
Fig. 7. Load collection interface
Fig. 8. Meteorological data collection interface
Fig. 9. Component data collection interface
Fig. 10. Installation specific data collection
Fig. 11. Simulation result output information
6.2. Database Interaction
Database interaction was made possible via SQLite and
a JDBC/SQLite drive which allows access to native SQLite
RDBMS functionality [18].
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Fig. 12. SQLite Manager (SQLite management
software)
7. Conclusion
The development of a software solution for all-round
operation with solar-PV systems can go a long way to
improving system performance. In particular, emphasis was
made on what is believed to be the two most important stages
in solar-PV system implementation which are the pre-
installation phase (i.e. design phase) and the post-installation
phase (i.e. monitoring and control phase). A lot of effort was
put into actualising this purpose. Challenges faced during the
course of development especially the debugging stage of the
project were successfully tackled.
Finally, the system is very effective, cheap to develop,
and works very well under varying weather conditions. The
accuracy of the sensory system is very high and provides the
possibility of transmission of information over the internet or
a local network in future works. The SolarHelper software
tool is presently in use in a small 1.5kW solar-PV system
installation; collecting vital system parameters for future
system performance analysis. The PV system design
functionality can be an easy alternative to strenuous hours
that would have been spent trying to come up with a design
scheme for a site. The overall efficiency and performance of
the PV system will be improved by the implementation of
this software. Future reports on system performance using
the SolarHelper simulation and monitoring tool in operation
with the installed solar-PV power system will validate this
claim.
References
[1] Alberto Escudero Pascual, “Sizing of standalone PV
systems based on the “worst month” method”, available
at:
http://fantsuam.it46.se/files/D1/IT46_en_solar_energy_di
mentioning.pdf, accessed on 1 April, 2013.
[2] Hybrid optimization model for electric renewables-
HOMER, available at:
http://www.nrel.gov/international/homer, accessed on 13
February, 2013.
[3] Bimal Aklesh Kumar, “Solar Power Systems Web
Monitoring”. The 2nd
Symposium on Renewable Energy
Technologies (SoRET), Raiwai, Fiji, October 2011,
available at:
http://dblp.unitrier.de/db/journals/corr/corr1111.html#abs
-1111-1605, accessed on 1 August, 2013.
[4] P. Niemeyer, and J. Knudsen, Learning Java, 3rd
ed.,
O’Reilly Media, 2005, ch.9 and ch.10.
[5] Wikibooks: Serial Programming in Java, available at:
http://en.wikibooks.org/wiki/Serial_Programming/Serial_
Java, accessed on 10 July, 2013.
[6] Gupta A, et al., “Modelling of hybrid energy system-Part
I: Problem formulation and model development”,
Renewable Energy 2010 (In press),
doi:10.1016/j.renene.2010.06.035.
[7] Gupta A, et al., “Modelling of hybrid energy system-Part
II: Combined dispatch strategies and solution algorithm”,
Renewable Energy 2010 (In press),
doi:10.1016/j.renene.2009.04.035.
[8] K. Katti, and M.K. Khedkar, “Alternative energy
facilities based on site matching and generation unit
sizing for remote area power supply”, Renewable Energy,
pp. 1346-66, 2007.
[9] E. Koutroulis, D. Kolokotsa, A. Potirakis, and K.
Kalaitzakis, “Methodology for optimal sizing of stand-
alone photovoltaic/wind-generator systems using genetic
algorithms”, Solar Energy, pp. 1072-88, 2006.
[10] G. Capizzi, and G. Tina, “Long-term operation
optimization of integrated generation systems by fuzzy
logic-based management” Energy, pp. 1047-54, 2007.
[11] C. Protogeropoulos, B.J. Brinkworth, and R.H.
Marshall, “Sizing and techno-economical optimization
for hybrid solar photovoltaic/wind power systems with
battery storage”, International Journal of Energy Review,
pp. 465-79, 1997.
[12] H. Yang, L. Lu, and W. Zhou, “A novel
optimization sizing model for hybrid solar-wind power
generation system”, Solar Energy Journal, pp.76-84,
2007.
[13] G.C.H. Seeling, “A combined optimization concept
for the design and operation strategy of hybrid-PV energy
systems”, Solar Energy, Vol.61 (2), pp.77-87, 1997.
[14] P. Larancij, L. Silveir, and W.Q. Lamas Engenharia
Termica, “Solar Software Applied to Design a
Photovoltaic System to supply the energy demand of an
Italian school”, (Thermal Engineering), Vol. 8(2), pp.84-
91, December 2009.
[15] Mark Hankins, Stand-Alone Solar Electric Systems.
The Earthscan Expert Handbook for Planning, Design
and Installation, earthscan expert series, London, 2010,
pp. 117-140.
9. INTERNATIONAL JOURNAL of RENEWABLE ENERGY RESEARCH
I.A. Odigwe et al. ,Vol.3, No. 3
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[16] Photovoltaic Design Assistance Center, Stand-
Alone Photovoltaic System. A Handbook of
Recommended design practices, Sandia National
Laboratories, March 1995, pp. 7-40.
[17] Massimo Banzi, Getting started with Arduino, 2nd
ed., O’Reilly Media, 2010, ch. 5.
[18] Michael Owens, The Definitive Guide SQLite, New
York: Springer-Verlag, 2006, pp. 171-423.