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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.4 P.615~622

http://doi.org/10.1631/jzus.2006.A0615


A pooled-neighbor swarm intelligence approach to optimal reactive power dispatch


Author(s):  Guo Chuang-xin, Zhao Bo

Affiliation(s):  School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   guochuangxin@vip.sina.com

Key Words:  Reactive power dispatch, Swarm intelligence, Multi-agent systems, Global optimization


Guo Chuang-xin, Zhao Bo. A pooled-neighbor swarm intelligence approach to optimal reactive power dispatch[J]. Journal of Zhejiang University Science A, 2006, 7(4): 615~622.

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author="Guo Chuang-xin, Zhao Bo",
journal="Journal of Zhejiang University Science A",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0615"
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%T A pooled-neighbor swarm intelligence approach to optimal reactive power dispatch
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%A Zhao Bo
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0615

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T1 - A pooled-neighbor swarm intelligence approach to optimal reactive power dispatch
A1 - Guo Chuang-xin
A1 - Zhao Bo
J0 - Journal of Zhejiang University Science A
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EP - 622
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A0615


Abstract: 
This paper presents a pooled-neighbor swarm intelligence approach (PNSIA) to optimal reactive power dispatch and voltage control of power systems. The proposed approach uses more particles’ information to control the mutation operation. The proposed PNSIA algorithm is also extended to handle mixed variables, such as transformer taps and reactive power source installation, using a simple scheme. PNSIA applied for optimal power system reactive power dispatch is evaluated on an IEEE 30-bus power system and a practical 118-bus power system in which the control of bus voltages, tap position of transformers and reactive power sources are involved to minimize the transmission loss of the power system. Simulation results showed that the proposed approach is superior to current methods for finding the optimal solution, in terms of both solution quality and algorithm robustness.

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Reference

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