Colloquium on Artificial Intelligence Techniques in Power Systems : at Savoy Place, London, Monday, 3 November 1997

Research in artificial intelligence has developed many techniques and methodologies that can be either adapted or used directly to solve complex power system problems. A variety of such problems are covered in this book including reactive power control, alarm analysis, fault diagnosis, protection systems and load forecasting. Methods such as knowledge-based (expert) systems, fuzzy logic, neural networks and genetic algorithms are all first introduced and then investigated in terms of their applicability in the power systems field. The book, therefore, serves as both an introduction to the use of artificial intelligence techniques for those from a power systems background and as an overview of the power systems implementation area for those from an artificial intelligence computing or control background. It is structured so that it is suitable for various levels of reader, covering basic principles as well as applications and case studies. The most popular methods and the most fruitful application fields are considered in more detail. The book contains contributions from top international authors and will be an extremely useful text for all those with an interest in the field. In the field of power systems one of the most exciting and potentially profitable recent developments is the increasing use of artificial intelligence techniques in monitoring, control and assessment. As a result of this, it was felt timely for a series of related articles to be put together to form a comprehensive guide which can serve as a reference text in the area. This book certainly serves as such a text. The intention of the book is to give an introduction to, and an overview of, the field of artificial intelligence techniques in power systems, with a look at various application studies. The book should therefore be useful to a range of readers; including practising power systems engineers, researchers in the field and those studying the use of artificial intelligence. In its entirety the book gives an up-to-date, broad coverage of the possible uses of artificial intelligence in a power systems environment, as well as an indication of recent research progress. The book could easily be used as a comprehensive text giving a fair coverage of different aspects of the field or rather in terms of the individual chapters, each of which deals with a specific topic in depth. The intention is that the book is of use as much to those from a power systems background who wish to find out about how artificial intelligence techniques could be of use, as it is to those from an artificial intelligence background who would like to find out more about the specific power systems application area Content: * Chapter 1: Artificial intelligence techniques in power systems * Chapter 2: Advanced knowledge engineering techniques with applications to electric power systems * Chapter 3: Object-oriented design and implementation of power system analysis software * Chapter 4: Fuzzy logic and hybrid systems * Chapter 5: Alarm analysis * Chapter 6: Artificial intelligence techniques for voltage control * Chapter 7: AI for protection systems * Chapter 8: Artificial neural networks for static security assessment * Chapter 9: Knowledge based systems for condition monitoring * Chapter 10: Scheduling maintenance of electrical power transmission networks using genetic programming * Chapter 11: Neuro-expert system applications in power systems * Chapter 12: Intelligent systems for demand forcasting * Chapter 13: A practical application and implementation of adaptive techniques using neural networks into autoreclose protection and system control 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 Annotation Research in artificial intelligence has developed many techniques and methodologies that can be adapted or used directly to solve complex power system problems