PSO-Based Voltage Control Strategy for Loadability Enhancement in Smart Power Grids

被引:5
|
作者
Su, Heng-Yi [1 ]
Hsu, Yu-Liang [2 ]
Chen, Yi-Chung [3 ]
机构
[1] Feng Chia Univ, Dept Elect Engn, 100 Wenhwa Rd, Taichung 40724, Taiwan
[2] Feng Chia Univ, Dept Automat Control Engn, 100 Wenhwa Rd, Taichung 40724, Taiwan
[3] Feng Chia Univ, Dept Informat Engn & Comp Sci, 100 Wenhwa Rd, Taichung 40724, Taiwan
来源
APPLIED SCIENCES-BASEL | 2016年 / 6卷 / 12期
关键词
evolutionary computation; maximum loadability; particle swarm optimization (PSO); power system control; smart grid; static voltage stability; LOAD;
D O I
10.3390/app6120449
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This paper proposes a new voltage control methodology using the particle swarm optimization (PSO) technique for smart grid loadability enhancement. The goal of this paper is to achieve reliable and efficient voltage profile/stability regulation in power grids. This methodology is based on the decouple power flow equations and the worst-case design technique. Specifically, the secondary voltage control (SVC) problem is formulated as an L-infinity norm minimization problem which considers overall load voltage deviations in electrical power systems as an objective model, and the PSO technique is employed to determine a robust control action which aims to improve voltage profile and to enlarge transmission grid loadability by optimal coordinated control of VAR sources. The methodology was successfully tested on several IEEE benchmark systems.
引用
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页数:14
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