Islanding Method Based on Minimum Spanning Tree and Improved Genetic Algorithm for Distribution System with DGs
|更新时间:2025-12-08
|
Islanding Method Based on Minimum Spanning Tree and Improved Genetic Algorithm for Distribution System with DGs
Vol. 41, Issue 10, Pages: 3470-3478(2015)
作者机构:
中国电力科学研究院配电变压器节能技术北京市重点实验室
作者简介:
基金信息:
DOI:
CLC:
Published Online:30 October 2015,
Published:2015
稿件说明:
移动端阅览
FENG Xueping, SONG Xiaohui, LIANG Ying, et al. Islanding Method Based on Minimum Spanning Tree and Improved Genetic Algorithm for Distribution System with DGs[J]. 2015, 41(10): 3470-3478.
DOI:
FENG Xueping, SONG Xiaohui, LIANG Ying, et al. Islanding Method Based on Minimum Spanning Tree and Improved Genetic Algorithm for Distribution System with DGs[J]. 2015, 41(10): 3470-3478.DOI:
Islanding Method Based on Minimum Spanning Tree and Improved Genetic Algorithm for Distribution System with DGs
In order to make full use of distributed generators and reduce power loss under the condition of large scale power loss in distribution network
on the basis of idea of on-line islanding algorithm
we proposed the principles of islanding algorithm and introduced the mathematic model. We proposed a weight value setting method for the islanding algorithm. An optimal radial distribution network generation method based on Kruskal algorithm produces the optimal radial distribution network
by which the best islanding scheme is proposed by improved genetic algorithm. PG&E 69 nodes system is used to analyze the influence of load weight setting and compare the existing methods. The result shows that optimal radial distribution network can reduce the solution space
which is the basis of optimal islanding algorithm. Compared with heuristic
branch and bound and dynamic programming method
the proposed two-step method is more effective in quantity and value of the loads restored
which can be used in distribution network operation control.