基于时变天牛群算法的分布式电源继电保护故障定位研究  

Research on Fault Location of Distributed Power Supply Relay Protection Based on Time-Varying Factor Beetle Antennae Search Algorithm

作　　者：李小燕[1] 党晔[1] LI Xiao-yan;DANG Ye(Xi'an Electric Power College,Xi'an 710032 China)

机构地区：[1]西安电力高等专科学校,陕西西安710032

出　　处：《自动化技术与应用》2024年第12期62-65,97,共5页Techniques of Automation and Applications

基　　金：浙江省自然科学基金项目(LGG21E060001)。

摘　　要：为了提升接入分布式电源(Distributed generation,DG)后配电网的故障定位准确率,搭建了一个接入逆变型分布式电源的电力系统模型,并设计了时变天牛群算法,利用时变天牛群算法对逆变型分布式电源电力系统进行故障定位研究。结果显示,搭建的模型可以反映出逆变型分布式电源对配电网断路器短路电流的影响,接入逆变型分布式电源后,断路器1的短路峰值电流会下降,断路器2的短路峰值电流会上升。时变天牛群算法在逆变型分布式电源电力系统中的故障定位准确率最高为99%。所设计的算法满足了逆变型分布式电源配电网的故障定位要求。In order to improve the accuracy of fault location in the distribution grid after connecting to distributed generation(DG),this paper constructs a power system model with inverter type distributed generation and designs the Time-Varying Factor Beetle Antennae Search Algorithm,which uses Time-Varying Factor Beetle Antennae Search Algorithm to conduct fault location research on inverter type distributed generation power systems.The results show that the model constructed in this article can reflect the impact of the inverter distributed power supply on the short-circuit current of the distribution network circuit breaker.After connecting the inverter distributed power supply,the short-circuit peak current of circuit breaker 1 decreases,and the short-circuit peak current of circuit breaker 2 increases.The highest fault location accuracy of Time-Varying Factor Beetle Antennae Search Algorithm in inverter distributed power systems is 99%.The algorithm designed in this article meets the fault location requirements of the inverse transformed distributed power distribution network.

关 键 词：时变因子 天牛算法 粒子群算法 分布式电源 故障定位 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TN77[自动化与计算机技术—控制科学与工程]