DocumentCode
1347349
Title
A Self-Organizing Strategy for Power Flow Control of Photovoltaic Generators in a Distribution Network
Author
Xin, Huanhai ; Qu, Zhihua ; Seuss, John ; Maknouninejad, Ali
Author_Institution
Dept. of Electr. Eng., Zhejiang Univ., Hangzhou, China
Volume
26
Issue
3
fYear
2011
Firstpage
1462
Lastpage
1473
Abstract
The focus of this paper is to develop a distributed control algorithm that will regulate the power output of multiple photovoltaic generators (PVs) in a distribution network. To this end, the cooperative control methodology from network control theory is used to make a group of PV generators converge and operate at certain (or the same) ratio of available power, which is determined by the status of the distribution network and the PV generators. The proposed control only requires asynchronous information intermittently from neighboring PV generators, making a communication network among the PV units both simple and necessary. The minimum requirement on communication topologies is also prescribed for the proposed control. It is shown that the proposed analysis and design methodology has the advantages that the corresponding communication networks are local, their topology can be time varying, and their bandwidth may be limited. These features enable PV generators to have both self-organizing and adaptive coordination properties even under adverse conditions. The proposed method is simulated using the IEEE standard 34-bus distribution network.
Keywords
distributed control; load flow control; photovoltaic power systems; power control; power distribution control; power generation control; self-adjusting systems; IEEE standard 34-bus network; PV generators; cooperative control methodology; distributed control algorithm; distribution network; network control theory; photovoltaic generators; power flow control; self-organizing strategy; Communication networks; Distributed control; Generators; Network topology; Power system dynamics; Topology; Voltage control; Distribution network; PV generators; network control; power flow control; self-organization;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2010.2080292
Filename
5599277
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