基于嗅探策略黏菌算法的微电网故障定位

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基于嗅探策略黏菌算法的微电网故障定位

Microgrid Fault Location Based on Sniffing Strategy Slime Mould Algorithm

基于嗅探策略黏菌算法的微电网故障定位

Microgrid Fault Location Based on Sniffing Strategy Slime Mould Algorithm

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doi:10.16088/j.issn.1001-6600.2024041301

广西师范大学学报（自然科学版） ›› 2025, Vol. 43 ›› Issue (2): 30-41.doi: 10.16088/j.issn.1001-6600.2024041301

李方皓, 刘立群^*, 吴青峰

太原科技大学电子信息工程学院, 山西太原 030024

收稿日期:2024-04-13 修回日期:2024-05-24 出版日期:2025-03-05 发布日期:2025-04-02
通讯作者: 刘立群(1976—), 男, 湖南新化人, 太原科技大学教授, 博士。E-mail: llq2004@163.com
基金资助:
山西省应用基础研究(自然科学面上)项目(202203021221153)

LI Fanghao, LIU Liqun^*, WU Qingfeng

College of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan Shanxi 030024, China

Received:2024-04-13 Revised:2024-05-24 Online:2025-03-05 Published:2025-04-02

摘要： 针对交直流混合微电网故障定位中出现的过程复杂和诊断速度缓慢问题,本文提出一种基于嗅探策略黏菌算法的故障定位方法。该方法利用贝多西小波变换和节点拓扑优化组成的嗅探策略来执行数据处理。具体而言,首先,利用PowerFactory搭建中低压交直流混合微电网模型,并在交流侧和直流侧输电线路上设置故障来分别提取相应的电压电流故障信号;其次,通过贝多西小波变换将故障信号进行分解与重构,得到其信息香农熵,并结合为能够表征故障的偏移值;然后,通过节点拓扑优化对混合微网的节点和支路的故障偏移值进行拟合;最后,使用优化黏菌算法通过Matlab对所提策略进行仿真验证。仿真结果表明,所提出的嗅探策略以每次迭代耗时小幅增加为代价,提高21%的准确度,提升35.9%的收敛速度,达到准确快速定位混合微网故障点的目的。

关键词: 微电网, 短路故障, 黏菌算法, 区域定位, 故障定位

Abstract: A fault localization method based on sniffing strategy slime mould algorithm is studied to address the issues of complex process and slow diagnostic speed in fault localization in AC/DC hybrid microgrids. This method utilizes a sniffing strategy consisting of the Daubechies wavelet transform and node topology optimization to perform data processing. Specifically, PowerFactory is used to build a medium and low voltage AC/DC hybrid microgrid model, and set faults on the AC and DC transmission lines to extract corresponding voltage and current fault signals separately. Secondly, the fault signal is decomposed and reconstructed using the Daubechies wavelet transform to obtain its information Shannon entropy, which is then combined to form an offset value that can characterize the fault. Then, through node topology optimization, the fault offset values of nodes and branches in the hybrid microgrid are fitted. Finally, the proposed strategy is simulated and validated using the optimized slime mould algorithm in Matlab. Simulation results show that the proposed sniffing strategy technology improves the accuracy by 21% and the convergence speed by 35.9% at the expense of a small increase in the time required for each iteration, achieving the purpose of accurately and quickly locating hybrid microgrid faults.

Key words: microgrid, short circuit fault, Slime Mould algorithm, regional location, fault localization

中图分类号: TP18;TM73

李方皓, 刘立群, 吴青峰. 基于嗅探策略黏菌算法的微电网故障定位[J]. 广西师范大学学报（自然科学版）, 2025, 43(2): 30-41.

LI Fanghao, LIU Liqun, WU Qingfeng. Microgrid Fault Location Based on Sniffing Strategy Slime Mould Algorithm[J]. Journal of Guangxi Normal University(Natural Science Edition), 2025, 43(2): 30-41.

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