Senin, 01 April 2019

Applied Mathematics for Restructured Electric Power Systems

Applied Mathematics for Restructured Electric Power Systems
By:Joe H. Chow,Felix F. Wu,James A. Momoh
Published on 2004-11-09 by Springer Science & Business Media


Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction. This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.

This Book was ranked at 24 by Google Books for keyword book bus independent phase.

Book ID of Applied Mathematics for Restructured Electric Power Systems's Books is 7DfHIjvzTAYC, Book which was written byJoe H. Chow,Felix F. Wu,James A. Momohhave ETAG "rjwDHOASd0I"

Book which was published by Springer Science & Business Media since 2004-11-09 have ISBNs, ISBN 13 Code is 9780387234700 and ISBN 10 Code is 0387234705

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Book which have "324 Pages" is Printed at BOOK under CategoryTechnology and Engineering

This Book was rated by 1 Raters and have average rate at "5.0"

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Applied Mathematics for Restructured Electric Power Systems

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