More Related Content
What's hot
What's hot (20)
Similar to Intelligent management of electrical systems in industries
Similar to Intelligent management of electrical systems in industries (20)
Recently uploaded
Recently uploaded (20)
Intelligent management of electrical systems in industries
- 1. INTELLIGENT MANAGEMENT OF ELECTRICAL SYSTEMS IN INDUSTRIES Presented by: K.GANESH KUMAR REDDY (139Y1A0262)
- 2. INTRODUCTION • Industrial plants have put continuous pressure on the advanced process automation. However, there has not been so much focus on the automation of the electricity distribution networks. • A disturbance in electricity supply causing the “downrun” of the process may cost huge amount of money. • Thus the intelligent management of electricity distribution including, for example, preventive condition monitoring and on- line reliability analysis has a great importance. • Nowadays the above needs have aroused the increased interest in the electricity distribution automation of industrial plants.
- 3. Description of the system environment • A big industrial plant differs from public distribution company by organizatory structure and by system environment. A production is divided into many departments or many companies. These units have the responsibility of production and maintenance.
- 4. Intelligent applications are needed to • Handle large amount of information available. This includes filtering of data and producing new information by collecting data. • Illustrate complex dependencies of electricity distribution and production processes in abnormal situations. • Give instructions for operators in fault situations. A risk of misoperation in unusual fault situation is obvious and prevents or delay operators’ decision making. • Automize analysis tasks. Continuous information analysis is not possible manually. • In order to introduce new intelligent applications for the management of electric systems in industrial plants, a basis for implementation is needed. The following requirements should be satisfied: • Documentation of electricity distribution network is available for the systems. Network databases can supply this information.
- 5. Application functions for distribution management in industrial plants * Real-time network monitoring, state estimation and optimization: • Topology management • load flow and fault currents also as dynamic phenomena • Monitoring and compensation of reactive power • monitoring of harmonics and resonances • Minimization of power losses
- 6. ADVANCED DISTRIBUTION AUTOMATION Traditional distribution systems were designed to perform one function— distributing power to end users. The distribution system of the future will be more versatile and will be multifunctional. • Strategic drivers for ADA are to • Improve system performance • Reduce outage times • Allow the efficient use of distributed energy resources Provide the customer more choices and • For ADA to work, the various intelligent devices must be interoperable both in the electric system architecture and in the communication and control architecture.
- 7. Distribution System of Future with ADA
- 8. DISTRIBUTION MANAGEMENT FUNCTIONS • Documentation of network data • Graphical user interfaces • Real-time network monitoring, state estimation and optimization • Topology management, load flow and fault current calculation, monitoring and compensation of reactive power, monitoring of harmonics and resonance, and minimization of power losses • Planning and simulation of operation actions • switching planning, fault situations, automatic load shedding and forming a local island
- 9. APPLICATION FUNCTIONS OF DATA MANAGEMENT SYSTEMS Load modeling The essential basis for advanced application functions is the modeling of loads connected to the network. Usually there are only few measurement points in the network. However, loading of every load node of the network must be known in the network calculations. For that purpose the loads are estimated by load models. Reliability management The functions related to reliability have considerable economic significance in industry. The losses of production caused by the disturbances and the inputs into the investments of the systems including maintenance and operational arrangements join here.
- 10. Conclusion Requirements of intelligent software applications for supporting the operation of industrial distribution networks are different compared to the public distribution. The domain is more segmented and heterogeneous, and the infrastructure of automation and computer systems for electricity networks are not so sophisticated and advanced as other process automation. On the other hand the chance to apply intelligent software methods is promising from the point of view of end-user attitudes, because the same kind of methods have been successfully applied in process automation, e.g. in fuzzy control and system modeling using neural networks.