Artificial Intelligence Techniques in Power Systems

Front Cover
K. Warwick, Arthur Ekwue, Raj Aggarwal, Institution of Electrical Engineers
IET, 1997 - Technology & Engineering - 302 pages
2 Reviews
Annotation Covers methods originating in artificial intelligence research used to solve complex power system problems, including problems such as reactive power control, alarm analysis, fault diagnosis, protection systems, and load forecasting. Investigates methods including expert systems, fuzzy logic, neural networks, and genetic algorithms in terms of their applicability in power systems, covering basic principles, applications, and case studies. For professionals with backgrounds in power systems or artificial intelligence computing. Annotation c. by Book News, Inc., Portland, Or.
 

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excellent overview.

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most useful notes ..i feel great about this copy and thank u for K. Warwick, Arthur Ekwue, Raj Aggarwal

Contents

Advanced knowledge engineering techniques with applications
19
Objectoriented design and implementation of power system
45
Fuzzy logic and hybrid systems
68
Alarm analysis
87
Knowledge based systems for mim monitoring
102
Artificial intelligence techniques for voltage control
109
AI for protection systems
123
Artificial neural networks for static security assessment
143
Scheduling maintenance of electrical power transmission networks
220
Neuroexpert system applications in power systems
238
Intelligent systems for demand forcasting
259
A practical application and implementation of adaptive techniques
280
Index
300
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About the author (1997)

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.