DocumentCode
71476
Title
A Self-Organizing Architecture Based on Cooperative Fuzzy Agents for Smart Grid Voltage Control
Author
Loia, Vincenzo ; Vaccaro, Alfredo ; Vaisakh, K.
Author_Institution
Dept. of Inf., Univ. of Salerno, Fisciano, Italy
Volume
9
Issue
3
fYear
2013
fDate
Aug. 2013
Firstpage
1415
Lastpage
1422
Abstract
The massive pervasion of distributed generators in modern smart grids makes hierarchical voltage control paradigms unsuitable. Fuzzy logic and fuzzy agent based architecture is considered to be a promising research approach to address voltage control problem in smart grids. Following the said approach, this paper proposes decentralized and non-hierarchal voltage control architecture based on cooperative fuzzy agents. Similarly to self-organizing biological populations, the voltage control is achieved by the local interaction of fuzzy agents as that of the theory distributed consensus. This allows control agents to decide that when reactive power flow injection in the network is more useful in case of global network conditions. Simulation results obtained on the 30 bus IEEE test network are presented and discussed in order to prove the effectiveness of the proposed solution.
Keywords
decentralised control; distributed power generation; fuzzy control; load flow control; multi-agent systems; power generation control; reactive power control; smart power grids; voltage control; IEEE test network; cooperative fuzzy agent interaction; decentralized voltage control; distributed generator; fuzzy agent based architecture; fuzzy logic based architecture; global network condition; nonhierarchal voltage control organization; reactive power flow injection; self-organizing architecture; self-organizing biological population; smart grid voltage control; Fuzzy logic; Process control; Protocols; Reactive power; Smart grids; Voltage control; Distributed control; fuzzy logic; multi-agent systems; voltage control;
fLanguage
English
Journal_Title
Industrial Informatics, IEEE Transactions on
Publisher
ieee
ISSN
1551-3203
Type
jour
DOI
10.1109/TII.2013.2249074
Filename
6471215
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