Hybrid control system for automatic voltage regulator in smart grid

Ting Chia Ou, Ta Peng Tsao, Chih Ming Hong, Chiung Hsing Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper presents a hybrid algorithm for an automatic voltage regulator (AVR), and particularly to using a fuzzy sliding mode control and a radial basis function network (RBFN) as driving control of a power system stabilizer (PSS) to control the output power. Through hybrid control of the two modes, optimum stable operation of a power generation system is achieved by on line learning of a recurrent radial basis function network (RRBFN).

Original languageEnglish
Title of host publicationProceedings - International Conference on Machine Learning and Cybernetics
PublisherIEEE Computer Society
Pages1103-1108
Number of pages6
ISBN (Electronic)9781479902576
DOIs
Publication statusPublished - 2013
Event12th International Conference on Machine Learning and Cybernetics, ICMLC 2013 - Tianjin, China
Duration: 2013 Jul 142013 Jul 17

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume3
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Other

Other12th International Conference on Machine Learning and Cybernetics, ICMLC 2013
Country/TerritoryChina
CityTianjin
Period13-07-1413-07-17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Human-Computer Interaction

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