Automatic Localization of Fault Sections in Active Distribution Networks Based on Hybrid Genetic Algorithm
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.
NETL
NSTL
万方数据
