DocumentCode
3602222
Title
Distributed Optimal Active Power Control of Multiple Generation Systems
Author
Gang Chen ; Lewis, Frank L. ; Feng, E. Ning ; Yongduan Song
Author_Institution
Key Lab. of Dependable Service Comput. in Cyber Phys. Soc., Chongqing Univ., Chongqing, China
Volume
62
Issue
11
fYear
2015
Firstpage
7079
Lastpage
7090
Abstract
A novel coordinated power controller design framework is proposed to optimize the active power output of multiple generators in a distributed network. Each bus in the distributed generation systems includes two function modules: a distributed economic dispatch (DED) module and a cooperative control (CC) module. By virtue of the distributed consensus theory, a DED algorithm is proposed and utilized to calculate the optimal active power generation references for each generator. The CC module receives and tracks the active power generation references such that the generation-demand balance is guaranteed at minimum operating cost while satisfying all generation constraints. The distributed control and management strategies enhance the redundancy and the plug-and-play capability in microgrids. Optimal properties and convergence rates of the proposed distributed algorithms are strictly proved. Simulation studies further demonstrate the effectiveness of the proposed approach.
Keywords
convergence; distributed control; distributed power generation; optimal control; power control; power distribution control; power generation control; power generation dispatch; power generation economics; DED algorithm; active power output optimization; convergence rates; cooperative control module; coordinated power controller design framework; distributed consensus theory; distributed economic dispatch module; distributed generation systems; distributed management strategies; distributed network; distributed optimal active power control; generation-demand balance; microgrids; minimum operating cost; multiple generation systems; optimal active power generation reference calculation; plug-and-play capability; redundancy enhancement; Convergence; Distributed algorithms; Economics; Generators; Microgrids; Power generation; Topology; Consensus protocol; Distributed generation systems; consensus protocol; distributed cooperative control; distributed cooperative control (CC); distributed generation systems; economic dispatch; economic dispatch (ED); microgrid;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/TIE.2015.2431631
Filename
7105897
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