E-catalog        

Voltage Security – An Introduction -- Load Flow Studies -- Voltage Stability and Security Analysis -- Voltage Security Analysis by Classical Methods -- Soft Computing Techniques - An Overview -- Multi-Layer Perceptron (MLP) with Error Back-Propagation Learning in Voltage Security Analysis -- Classification of Voltage Security States Using Unsupervised ANNs -- Classification of Voltage Security States Using Supervised ANNs.

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.