Bøger af Mithilesh Singh

Este livro faz uma breve revisão sobre a melhoria da estabilidade utilizando técnicas Fuzzy e GA e investigou essencialmente a alteração da frequência e a alteração da potência da linha de ligação devido à alteração da carga e também as técnicas que podem ser utilizadas para obter os valores optimizados de vários parâmetros para minimizar as alterações. A existência de oscilações de baixa frequência nos sistemas de energia é a causa da instabilidade do ângulo de potência, limitando a transmissão da potência máxima da linha de ligação. Uma das formas eficazes de melhorar os limites de estabilidade é através da instalação de um estabilizador do sistema de potência e de um controlo suplementar da excitação para aumentar o sinal de estabilização suplementar do regulador automático de tensão (AVR). A investigação do melhoramento da estabilidade do sistema de potência através da aplicação coordenada de vários controladores de amortecimento é realizada em pormenor. É utilizada uma função objectivo no domínio do tempo para diminuir as oscilações do sistema de energia para o problema de concepção do controlador que foi proposto.

This book gives brief review for stability improvement using Fuzzy and GA techniques. and has essentially investigated on the change in frequency as well as change in the tie line power due to the change in the load and also the techniques that may be used for obtaining the optimized values of various parameters for minimizing the changes. The existence of low-frequency oscillations in power systems is the cause of power angle instability, limiting the transmission of maximum tie-line power. One of the effective ways to improve the stability limits is by installing a power system stabilizer and supplementary excitation control to augment with an automatic voltage regulator (AVR) supplemental feedback stabilizing signal. The investigation of the enhancement of the power system steadiness by the coordinated application of numerous damping controllers is thoroughly achieved. A time-domain objective function is utilized to diminish the oscillations of the power system for the controller design problem that has been proposed.

Dieses Buch gibt einen kurzen Überblick über die Stabilitätsverbesserung mit Hilfe von Fuzzy- und GA-Techniken und hat im Wesentlichen die Änderung der Frequenz sowie die Änderung der Leistung der Verbindungsleitung aufgrund der Änderung der Last und auch die Techniken untersucht, die verwendet werden können, um die optimierten Werte verschiedener Parameter zur Minimierung der Änderungen zu erhalten. Das Vorhandensein von Niederfrequenzschwingungen in Energiesystemen ist die Ursache für die Instabilität des Leistungswinkels, die die Übertragung der maximalen Verbindungsleitungsleistung begrenzt. Eine wirksame Methode zur Verbesserung der Stabilitätsgrenzen ist die Installation eines Netzstabilisators und einer zusätzlichen Erregungsregelung, die durch ein zusätzliches rückgekoppeltes Stabilisierungssignal eines automatischen Spannungsreglers (AVR) ergänzt wird. Die Verbesserung der Stabilität des Netz esdurch die koordinierte Anwendung zahlreicher Dämpfungsregler wird eingehend untersucht . Für dasvorgeschlagene Reglerentwurfsproblem wirdeine Zielfunktion im Zeitbereich verwendet, um die Schwingungen des Stromversorgungssystems zu vermindern .

Vätoj knige predstawlen kratkij obzor po uluchsheniü ustojchiwosti s pomosch'ü metodow Fuzzy i GA. V nej issledowano izmenenie chastoty, a takzhe izmenenie moschnosti linii swqzi iz-za izmeneniq nagruzki, a takzhe metody, kotorye mogut byt' ispol'zowany dlq polucheniq optimizirowannyh znachenij razlichnyh parametrow dlq minimizacii izmenenij. Suschestwowanie nizkochastotnyh kolebanij w änergosistemah qwlqetsq prichinoj nestabil'nosti ugla moschnosti, ogranichiwaüschej peredachu maximal'noj moschnosti linii swqzi. Odnim iz äffektiwnyh sposobow uluchsheniq predelow ustojchiwosti qwlqetsq ustanowka stabilizatora änergosistemy i dopolnitel'nogo uprawleniq wozbuzhdeniem, dopolnennogo dopolnitel'nym stabiliziruüschim signalom obratnoj swqzi awtomaticheskogo regulqtora naprqzheniq (AVR). Prowedenotschatel'noe issledowanie powysheniq ustojchiwosti änergosistemy putem soglasowannogo primeneniq mnogochislennyh dempfiruüschih regulqtorow. Dlq umen'sheniq kolebanij änergosistemy wpredlozhennoj zadache proektirowaniq regulqtoraispol'zuetsq celewaq funkciq s wremennoj oblast'ü dlq umen'sheniq kolebanij änergo sistemy.

This book provides comprehensive introduction to consortium technologies underlying power quality improvement, an evolving branch of electrical engineering with soft computing. The constituent technologies discussed FACTS devices, power quality, neural network, and modelling and simulations. This book with a wealth of information that is clearly presented and illustrated examples and applications. It should also be of interest to researchers and technologies desirous of power quality improvement and this book is helpful for undergraduate and post graduate students also.

This book provides comprehensive introduction to consortium technologies underlying power quality improvement, an evolving branch of electrical engineering with soft computing. The constituent technologies discussed FACTS devices, power quality, neural network, and modelling and simulations. This book with a wealth of information that is clearly presented and illustrated examples and applications. It should also be of interest to researchers and technologies desirous of power quality improvement. Mithilesh Singh received his M.Tech. (MNNIT Allahabad) and PhD (Dr. CVRU Bilaspur) degrees in Electrical Engineering. At present he is professor in EEE department, KITE, Raipur (CG). He has more than 18 years of teaching and research experience. His researches are including soft computing techniques, power quality and FACTS devices. Shubhrata Gupta, Ph.D., is Professor in Electrical Engineering department, NIT Raipur. She is senior IEEE fellow member; she has guided many Ph.D. research scholars and published many research papers in reputed journals. Her total teaching and research experience is more than 25 years. Her research interests include neural networks, soft computing techniques.