Titlebook: Soft Computing Techniques in Voltage Security Analysis; Kabir Chakraborty,Abhijit Chakrabarti Book 2015 Springer India 2015 Artificial Neu

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,Soft Computing Techniques—An Overview,This chapter develops a working model of an artificial neuron and introduces neural network architectures, properties, and components. The similarities between biological and artificial neural networks are described along with the architecture of neuron. This chapter also introduces an artificial neural network’s learning process.

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Kabir Chakraborty,Abhijit ChakrabartiComprises computer-based new approaches for fast and reliable voltage security diagnosis of multi-bus power network.Combines both supervised and unsupervised ANN algorithms for voltage security diagno

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Soft Computing Techniques in Voltage Security Analysis978-81-322-2307-8Series ISSN 2199-8582 Series E-ISSN 2199-8590

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Voltage Security Analysis by Classical Methods,ntional voltage stability indices and a couple of newly developed indices are discussed along with the concept of equivalent two-bus system. The concept of FC–TCR (fixed capacitor-thyristor controlled reactor) type SVC as a reactive compensator for heavily loaded and voltage stressed power networks to augment voltage stability are also proposed.

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Multilayer Perceptron (MLP) with Error Back-Propagation Learning in Voltage Security Analysis,t of the perceptron and LMS models are described to their fullest complexity with back-propagation learning. The applications of multilayer perceptron (MLP) with error back-propagation learning to the voltage security analysis of multi-bus power networks are also detailed.

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Book 2015en 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

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Load Flow Studies,iques in order to determine the voltages at various buses and the power flowing through the elements of the system. In this chapter, some basics of load flow analysis have been discussed along with N–R method and fast decoupled method of load flow analysis. These techniques are applied to the online

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