DSpace Repository

A comprehensive analysis of intelligent controllers for load frequency control

Show simple item record

dc.contributor.author Mathur, Hitesh Dutt
dc.date.accessioned 2023-02-16T06:03:36Z
dc.date.available 2023-02-16T06:03:36Z
dc.date.issued 2006
dc.identifier.uri https://ieeexplore.ieee.org/abstract/document/1632619
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9255
dc.description.abstract This paper presents summaries of novel approaches of artificial intelligence (AI) techniques, like fuzzy logic, artificial neural network (ANN), hybrid fuzzy neural network (HFNN), genetic algorithm (GA) for the load frequency control of electrical power system. The limitations of conventional controls such as proportional, integral and derivative are slow and lack of efficiency in handling system nonlinearities. Since high frequency deviation may lead to system collapse, this necessitates an accurate and fast acting controller to maintain the constant nominal system frequency. The intelligent controllers are used for load frequency control for the single area system, multi area interconnected system. The performance of intelligent controllers with the conventional controllers has been thoroughly compared and analyzed en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject EEE en_US
dc.subject Frequency control en_US
dc.subject Artificial Intelligence en_US
dc.subject Control systems en_US
dc.subject Artificial Neural Networks en_US
dc.subject Hybrid power systems en_US
dc.subject Fuzzy logic en_US
dc.subject Fuzzy neural networks en_US
dc.title A comprehensive analysis of intelligent controllers for load frequency control en_US
dc.type Article en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account