基于混合遗传算法的有源配电网故障区段自动定位
Automatic Localization of Fault Sections in Active Distribution Networks Based on Hybrid Genetic Algorithm
柳乐怡1
作者信息
- 1. 深圳供电局电力调度控制中心,深圳 518000
- 折叠
摘要
现实配电网通常由大量节点、线路和变压器组成.网络拓扑复杂,进而导致有源配电网故障区段定位精度下降.首先,对配电网故障特征进行了详细分析,包括短路故障和单相接地故障等类型.然后,依据故障特征分析结果,构建了一个适用于有源配电网的故障区段定位模型.最后,采用混合遗传算法来优化求解该定位模型,以获得精确的故障区段定位结果.实验结果表明:所提方法可以有效实现区段故障定位,且故障区段定位时间始终低于10s,最长仅为9s,表明所提方法定位性能较优,具有实用性.
Abstract
The real distribution network is usually composed of a large number of nodes,lines,and transformers,and the network topology is complex,which leads to a decrease in the accuracy of fault section positioning in active distribution networks.Firstly,a detailed analysis of the fault characteristics of the distribution network,including short circuit faults and single-phase grounding faults,was conducted.Then,based on the analysis of fault character-istics,a fault section localization model suitable for active distribution networks was constructed.Finally,a hybrid genetic algorithm is used to optimize and solve the localization model to obtain accurate fault section localization re-sults.The experimental results show that the proposed method can effectively achieve section fault localization,and the fault section localization time is always less than 10 seconds,with a maximum of only 9 seconds,indicating that the proposed method has better localization performance and practicality.
关键词
混合遗传算法/配电网故障/区段自动定位Key words
hybrid genetic algorithm/distribution network failure/automatic section positioning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据