Soft Computing Techniques in Voltage Security Analysis

✍ Scribed by Kabir Chakraborty, Abhijit Chakrabarti (auth.)

• Publisher: Springer India
• Year: 2015
• Tongue: English
• Leaves: 227
• Series: Energy Systems in Electrical Engineering
• Edition: 1
• Category: Library

✦ Synopsis

This book focuses on soft computing techniques for enhancing voltage security in electrical power networks. Artificial neural networks (ANNs) have been chosen as a soft computing tool, since such networks are eminently suitable for the study of voltage security. The different architectures of the ANNs used in this book are selected on the basis of intelligent criteria rather than by a “brute force” method of trial and error. The fundamental aim of this book is to present a comprehensive treatise on power system security and the simulation of power system security. The core concepts are substantiated by suitable illustrations and computer methods. The book describes analytical aspects of operation and characteristics of power systems from the viewpoint of voltage security. The text is self-contained and thorough. It is intended for senior undergraduate students and postgraduate students in electrical engineering. Practicing engineers, Electrical Control Center (ECC) operators and researchers will also find the book useful.

✦ Table of Contents

Front Matter....Pages i-xvii
Voltage Security—An Introduction....Pages 1-10
Load Flow Studies....Pages 11-57
Voltage Stability and Security Analysis....Pages 59-74
Voltage Security Analysis by Classical Methods....Pages 75-118
Soft Computing Techniques—An Overview....Pages 119-125
Multilayer Perceptron (MLP) with Error Back-Propagation Learning in Voltage Security Analysis....Pages 127-151
Classification of Voltage Security States Using Unsupervised ANNs....Pages 153-173
Classification of Voltage Security States Using Supervised ANNs....Pages 175-189
Back Matter....Pages 191-221

✦ Subjects

Power Electronics, Electrical Machines and Networks; Computational Intelligence; Energy Systems