中压配电网多目标故障自动识别方法研究  

Research on multi-objective fault automatic identification method for medium voltage distribution network

作　　者：陈亮 CHEN Liang(State Grid Huzhou Electric Power Supply Company,Huzhou 313000,Zhejiang Province,China)

机构地区：[1]国网湖州供电公司,浙江湖州313000

出　　处：《信息技术》2025年第2期92-96,103,共6页Information Technology

摘　　要：为精准识别和定位配电网故障,提出基于量子行为粒子群算法的中压配电网多目标故障自动识别方法。采用叠加原理分析中压配电网多目标故障行波,确定电压和电流行波的折射和反射系数;将不同的行波系数对应在粒子空间中,以最优解更新函数计算行波系数极值,并跟踪行波信号确定故障目标;选择量子行为编码理论线性求解粒子群,自动识别多目标故障的具体位置,完成方法设计。实验结果表明:以35kV中压配电网作为测试对象,采用所提方法对故障线路进行目标识别,能够实现快速且准确的故障点目标定位,具有应用价值。To accurately identify and locate faults in the distribution network,a multi-objective automatic fault identification method for medium voltage distribution network based on quantum behavior particle swarm optimization algorithm is proposed.Firstly,the principle of superposition is used to analyze multi-objective fault traveling waves in medium voltage distribution networks,which could determine the refraction and reflection coefficients of voltage and current traveling waves.Nextly,corresponding different traveling wave coefficients in particle space,calculate the extreme values of the traveling wave coefficients using the optimal solution update function,and track the traveling wave signal to determine t he fault target.Finally,choose quantum behavior coding theory to linearly solve particle swarm optimization,automatically identify the specific location of multi-objective faults,and complete the method design.The experiment results show that using the proposed method for target recognition of faulty lines in a 35kV medium voltage distribution network as the test object can achieve fast and accurate target localization of fault points,which has practical value.

关 键 词：量子行为 中压配电网 粒子群算法 多目标故障 自动识别 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]