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Soft computing techniques in voltage...

Chakraborty, Kabir.

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Soft computing techniques in voltage security analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Soft computing techniques in voltage security analysis/ by Kabir Chakraborty, Abhijit Chakrabarti.
作者:	Chakraborty, Kabir.
其他作者:	Chakrabarti, Abhijit.
出版者:	New Delhi :Springer India : : 2015.,
面頁冊數:	xvii, 221 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Electric power system stability - Data processing. -
電子資源:	http://dx.doi.org/10.1007/978-81-322-2307-8
ISBN:	9788132223078 (electronic bk.)

Soft computing techniques in voltage security analysis
Chakraborty, Kabir.

Soft computing techniques in voltage security analysis[electronic resource] /by Kabir Chakraborty, Abhijit Chakrabarti. - New Delhi :Springer India :2015. - xvii, 221 p. :ill., digital ;24 cm. - Energy systems in electrical engineering,2199-8582. - Energy systems in electrical engineering..

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.

ISBN: 9788132223078 (electronic bk.)

Standard No.: 10.1007/978-81-322-2307-8doiSubjects--Topical Terms:

2139441
Electric power system stability
--Data processing.

LC Class. No.: TK1010

Dewey Class. No.: 621.31

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520 $a 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.
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