Applied Mathematics for Restructured Electric Power Systems - Optimization, Control, and Computational Intelligence (Paperback, Softcover reprint of hardcover 1st ed. 2005)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Power Electronics and Power Systems
Release date:	December 2010
First published:	2005
Editors:	Joe H. Chow • Felix F Wu • James A. Momoh
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	324
Edition:	Softcover reprint of hardcover 1st ed. 2005
ISBN-13:	978-1-4419-3631-8
Categories:	Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
LSN:	1-4419-3631-9
Barcode:	9781441936318

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