RESEARCH ON FAULT SECTION LOCATION OF DISTRIBUTION NETWORK BASED ON IMPROVED BINARY SPARROW SEARCH ALGORITHM

被引:0
|
作者
Shang, Li-Qun [1 ]
Li, Yao [1 ]
机构
[1] School of Electrical and Control Engineering, Xi'an University of Science and Technology, Shaanxi, Xi'an,710054, China
来源
Journal of Technology | 2022年 / 37卷 / 04期
关键词
Distributed power generation - Electric fault location - Fault tolerance - Learning algorithms;
D O I
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中图分类号
学科分类号
摘要
Aiming at the shortcomings of low positioning accuracy and poor fault tolerance of the previous multi-source distribution network fault location algorithm with distributed generator, an improved sparrow search algorithm is adopted to achieve fast and accurate determination of fault location in the distribution network. Firstly, the finder’s search strategy in the sparrow search algorithm is improved. Then, the alerter moves to the optimal position instead of jumping directly to the optimal position. Finally, it is mapped into discrete space to solve the fault location of the distribution network. A simulation model of a multi-source distribution network with distributed generator is established, and a simulation experiment for fault location of the distribution network is carried out to verify the feasibility of the sparrow search algorithm in fault location of the multi-source distribution network. The simulation results show that the proposed method has the advantages of fast searching speed, strong fault tolerance, high accuracy and strong practicability. © 2022, National Taiwan University of Science and Technology. All rights reserved.
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页码:311 / 317
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