A Multi-agent model based decentralized coordi-nated control for large power system transient stability improvement

The paper focuses on a multi-agent model based decentralized coordinated control scheme for large-scale power system transient stability improvement. First, a multi-agent model structure is constructed by using wide area measurements (WAMs). Moreover, the fuzzy control method is introduced in each a...

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Bibliographic Details
Published in45th International Universities Power Engineering Conference UPEC2010 pp. 1 - 5
Main Authors Chunxia Dou, Chunchun Mao, Zhiqian Bo, Xingzhong Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2010
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Summary:The paper focuses on a multi-agent model based decentralized coordinated control scheme for large-scale power system transient stability improvement. First, a multi-agent model structure is constructed by using wide area measurements (WAMs). Moreover, the fuzzy control method is introduced in each agent mode to improve the power system transient stability in the form of online adjustment. The intelligent optimization control for whole system is realized through the tuning among each agent based on fuzzy rules. The effectiveness of the proposed multi-agent control is demonstrated through simulation examples. The simulation results indicate that the decentralized coordinated control base on wide area signals is more effective than the decentralized control system.
ISBN:9781424476671
1424476674