Genetic algorithm based control for unbalanced low voltage networks

被引：0
|
作者：
Oramas-Pinero, Carlos [1 ]
Vega-Fuentes, Eduardo [2 ]
Deniz, Fabian [3 ]
机构：
[1] Univ Las Palmas Gran Canaria, Las Palmas Gran Canaria, Spain
[2] Univ Las Palmas Gran Canaria, Inst Appl Microelect, Las Palmas Gran Canaria, Spain
[3] Univ Las Palmas Gran Canaria, Dept Elect Engn, Las Palmas Gran Canaria, Spain
来源：
2018 AEIT INTERNATIONAL ANNUAL CONFERENCE | 2018年
关键词：
low voltage networks; voltage unbalance; genetic algorithm;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
There always exist unbalance in low voltage networks. It has adverse effects like current increase and voltage drops below regulatory limits in the most loaded phase, presence of current in the neutral conductor, over-voltage problems in the least loaded phase, and feeder tripping due to neutral overcurrent. Classic solutions involve grid reinforcements. In this paper a control methodology that may be applied to any unbalanced network is proposed. A real unbalanced low voltage network was modeled and simulated with OpenDSS and Matlab. The proposed control based on genetic algorithm found the least number of phase swaps required to restore voltage violations. It resulted in percentage voltage unbalance factor improvement and 18% losses reduction.
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