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Power System Optimization

Power System Optimization

          
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About the Book

Power System Optimization is intended to introduce the methods of multiobjective optimization in integrated electric power system operation, covering economic and environmental aspects as well. Written in a student-friendly style, the book provides simple and understandable basic computational concepts and algorithms used in generation scheduling so that one can develop own's programs in any high-level language. This clear, logical overview of generation scheduling in electric power systems permits both students and power engineers to understand and apply optimization on a dependable basis. The book is particularly easy to use, as it uses a sound and consistent terminology and perspective throughout. The book presents systematic coverage of ac/dc load flow, Gauss-Seidel, Newton-Raphson, decoupled and fast decoupled load flow techniques, evaluation of real and reactive power transmission losses, generalized generation distribution factors, multiobjective economic dispatch, and hydrothermal scheduling for fixed and variable head. It also explains the applicability of fuzzy theory logic, artificial neural networks and genetic algorithms in solving scheduling problems. Each chapter includes several illustrative examples with elaborated steps so that the readers can get a solid grounding in concepts and applications of this subject area. This book is intended to meet the needs of a diverse range of groups interested in optimization application in power system operation. The book requires only an elementary knowledge of numerical techniques and matrix operation to understand most of the topics. It is designed to serve as a textbook for postgraduate electrical engineering students, as well as a reference for faculty, researchers, and power engineers interested in the use of optimization as a tool for reliable and economic operation of power systems.


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Product Details
  • ISBN-13: 9788120321977
  • Publisher: PHI Learning
  • Edition: 1
  • No of Pages: 584
  • Weight: 946 gr
  • ISBN-10: 8120321979
  • Binding: Paperback
  • Language: English
  • Sub Title: Computer & Info. Processing


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