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CLC number: TP202
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Received: 2004-12-28
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Optimal coordinated voltage control of power systems
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Li Yan-jun, Hill David J., Wu Tie-jun. Optimal coordinated voltage control of power systems[J]. Journal of Zhejiang University Science A, 2006, 7(2): 257-262.
@article{title="Optimal coordinated voltage control of power systems",
author="Li Yan-jun, Hill David J., Wu Tie-jun",
journal="Journal of Zhejiang University Science A",
volume="7",
number="2",
pages="257-262",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0257"
}
%0 Journal Article
%T Optimal coordinated voltage control of power systems
%A Li Yan-jun
%A Hill David J.
%A Wu Tie-jun
%J Journal of Zhejiang University SCIENCE A
%V 7
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%P 257-262
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0257
TY - JOUR
T1 - Optimal coordinated voltage control of power systems
A1 - Li Yan-jun
A1 - Hill David J.
A1 - Wu Tie-jun
J0 - Journal of Zhejiang University Science A
VL - 7
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SP - 257
EP - 262
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A0257
Abstract: An immune algorithm solution is proposed in this paper to deal with the problem of optimal coordination of local physically based controllers in order to preserve or retain mid and long term voltage stability. This problem is in fact a global coordination control problem which involves not only sequencing and timing different control devices but also tuning the parameters of controllers. A multi-stage coordinated control scheme is presented, aiming at retaining good voltage levels with minimal control efforts and costs after severe disturbances in power systems. A self-pattern-recognized vaccination procedure is developed to transfer effective heuristic information into the new generation of solution candidates to speed up the convergence of the search procedure to global optima. An example of four bus power system case study is investigated to show the effectiveness and efficiency of the proposed algorithm, compared with several existing approaches such as differential dynamic programming and tree-search.
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