Intelligent System Applications in Power Engineering

Loi Lei Lai graduated from Aston University in Birmingham with a BSc and a PhD. He was awarded a DSc by City University London. He is also an honrorary graduate of City University. In 1984, he was appointed Senior Lecturer at Staffordshire Polytechnic. From 1986 to 1987, he was a Royal Academy of Engineering Industrial Fellow to both GEC Alsthom Turbine Generators Ltd and the Engineering research Centre. He is currently Head of Energy Systems Group and Chair in Electrical Engineering at City University London. In the last decade, Professor Lai has authored/co-authored 200 technical publications. He has also written a book entitled Intelligent System Applications in Power Engineering - Evolutionary Programming and Neural Networks and, in 2001, edited the book Power System Restructuring and Deregulation - Trading, Performance and Information Technology, both published by John Wiley & Sons, Ltd. He was award the IEEE Third Millennium Medal and won the IEEE Power Engineering Society, United Kingdom and Republic of Ireland (UKRI), chapter, Outstanding Engineer Award in 2003. In 1995, he received a high-quality paper prize from the International Association of Desalination, USA and in 2006 he was awarded a Prize paper by the IEEE Power Generation Committee. He is a Fellow of the IEEE and the IET (Institution of Engineering and Technology).Among his professional activities, he is a Founder and was the Conference Chairman of the international Conference on Power Utility Deregulation, Restructuring man of the International Conference on Power Utility Deregulation, Restructuring and Power Technologies (DRPT) 2000, co-sponsored by the IEEE (now IET) and Power Technologies (DRPT) 2000, co-sponsored by the IEE (now IET) and IEEE. He reviews grant proposals regularly for the EPSRC, Australian Research Council and Hong Kong research Grant Council. In 2001, he was invited by the Hong Kong Institution of Engineers to be Chairman of an Accreditation Visit Team to accredit the BEng (Hons) degree in Electrical Engineering. Since 2005, Professor Lai has been invited as a judge for the Power/Energy Category in the IET Innovation in Engineering Awards. He was also Student Recruitment Office of the IEEE UKRI Section Executive Committee. He is a member of the Intelligent Systems Subcommittee in Power System Analysis, Computing and Economic Committee, IEEE Power Engineering Society; a Member of the Executive Team of the Power Trading and Control Technical and Professional Network, IET; an Editor of the IEE Proceedings - Generation, Distribution and Generation (now IET Generation, Distribution and Generation); an Editorial Board Member of the International Journal of Electrical Power & Energy Systems published by Elsevier Science Ltd, UK; International Advisor, Hong Kong Institution of Engineers (HKIE) Transactions and an Editorial Board Member of the European Transactions on Electrical Power published by John Wiley & Sons, Ltd. He was a research Professor at Tokyo Metropolitan University, is also Visiting professor at Southeast University Nanjing and Guest Professor at Fudan University, Shanghai. He has also been invited to deliver keynote addresses and plenary speeches to several major international conferences sponsored by the IET and IEEE.

• Object-Oriented Analysis, Design and Development of Artificial Neural Networks. Evolutionary Computation. Hybrid Evolutionary Algorithms and Artificial Neural Networks An Evolutionary Programming Approach to Reactive Power Planning Optimal Reactive Power Dispatch Using Evolutionary Programming. Application of Evolutionary Programming to Transmission Network Planning. Application of Evolutionary Programming to Generator Parameter Estimation. Evolutionary Programming for Economic Dispatch of Units with Non-Smooth Input-Output Characteristic Functions. Power Flow Control in Facts Using Evolutionary Programming. Multi-Time-Interval Scheduling for Daily Operation of a Two-Co-Generation System with Evolutionary Programming. Application of Evolutionary Programming to Fault Section Estimation. Neural Networks for Fault Diagnosis in HVDC Systems. An Ann Approach to the Diagnosis of Transformer Faults Real-Time Frequency and Harmonic Evaluation Using Artificial Neural Networks. Artificial Neural Network Applications in Digital Distance Relay. Application of Artificial Neural Networks to Transient Stability Assessment. Application of Neural Networks and Evolutionary Programming to Short-Term Load Forecasting. Select Bibliography Index.

"It is apparent that most topics are well described, but some lack fair treatment...the book is designed better as a reference book...which should help engineers and researchers appreciate the recent advances in this area." (Power Engineering Journal, February 1999) "This book describes ANNs and extensions...in a general way." (Aslib Book Guide, Vol. 64, No. 1, January 1999)