Artificial Intelligence Techniques in Power Systems

Kevin Warwick is Professor of Cybernetics at the University of Reading, UK. He previously held positions at Oxford, Newcastle and Warwick Universities and has higher Doctorates from both Imperial College, London, and the Czech Academy of Sciences, Prague. He was an Honorary Editor of the IEE Proceedings on Control Theory and Applications and is actively involved in research into artificial intelligence, control and robotics.Arthur Ekwue obtained a BSc (Eng) degree in Electrical Engineering from the University of Nigeria, Nsukka. He came to Imperial College in 1979 and was awarded a PhD degree in Power Systems in 1982. He obtained the MBA degree in 1994 from City University. Dr Ekwue is a Chartered Engineer and currently with National Grid Company plc's Technology and Science Division as the Senior Project Engineer responsible for artificial intelligence applications within the Power Systems and Business Modelling Section.Rag Aggarwal received his BEng and PhD degrees in Electrical Engineering from the University of Liverpool and joined the University of Bath in 1973 where he is now a reader in the Power and Energy Systems Group. He is the author of over 200 refereed papers and the recipient of two Learned Society premium awards for papers published in IEE journals. His areas of research are power system modelling, digital protection, fibre optics and AI in power system protection and control.

'This book is a useful introduction to the field of AI for power engineers [and] presents several meaningful case-studies that will help practioners in deciding which directions are worthy of further investigation and near-term success.'

• Chapter 1: Artificial intelligence techniques in power systemsChapter 2: Advanced knowledge engineering techniques with applications to electric power systemsChapter 3: Object-oriented design and implementation of power system analysis softwareChapter 4: Fuzzy logic and hybrid systemsChapter 5: Alarm analysisChapter 6: Artificial intelligence techniques for voltage controlChapter 7: AI for protection systemsChapter 8: Artificial neural networks for static security assessmentChapter 9: Knowledge based systems for condition monitoringChapter 10: Scheduling maintenance of electrical power transmission networks using genetic programmingChapter 11: Neuro-expert system applications in power systemsChapter 12: Intelligent systems for demand forcastingChapter 13: A practical application and implementation of adaptive techniques using neural networks into autoreclose protection and system control