中国电力2025，Vol.58Issue(2)：22-32,11.DOI:10.11930/j.issn.1004-9649.202406070
参数不对称配电网高阻接地故障感知与辨识方法
High Resistance Grounding Fault Perception and Identification Method in Asymmetric Distribution Network
摘要
Abstract
Aiming at the problems of fault perception and identification in high resistance grounding fault of distribution network,a high resistance grounding fault perception method for parameter-asymmetric distribution network based on damping rate variation is proposed.In this method,the zero-sequence voltage is actively regulated by the active inverter device for a short time,and the fault is judged according to the variation of the system damping rate before and after fault.On the basis of realizing the sensitive perception of high resistance grounding fault,a fault type identification method based on the change characteristics of zero-sequence equivalent admittance phase angle of the system is further proposed.This identification method actively changes the zero-sequence voltage amplitude regulation coefficient,and accurately identifies the transient and permanent grounding fault types according to the change trajectory of admittance phase angle under different grounding modes.The simulation analysis shows that the proposed method can be applied to the three-phase parameter asymmetric distribution network.The proposed method can realize fault perception and identification in low and high resistance grounding faults under different operation modes,and has strong resistance to transition resistance and strong applicability.关键词
高阻接地故障/零序电压/故障感知/故障辨识Key words
high resistance grounding fault/zero-sequence voltage/fault perception/fault identification引用本文复制引用
杨鹏辉,钱国超,白浩,刘红文,杨万先,石晓..参数不对称配电网高阻接地故障感知与辨识方法[J].中国电力,2025,58(2):22-32,11.基金项目
国家自然科学基金资助项目(新型配电系统数字孪生基础理论与方法研究,U22B2096) （新型配电系统数字孪生基础理论与方法研究,U22B2096）
南方电网重大科技项目(有源配电网复杂故障全息特征智能自适应分类识别与故障诊断技术研究,056200KK52222166). This work is supported by National Natural Science Foundation of China(Research on the Fundamental Theory and Method of Digital Twin of New Power Distribution System,No.U22B2096),Science and Technology Project of the China Southern Power Grid(Research on Holographic Feature Intelligent Adaptive Classification Recognition and Fault Diagnosis for Complex Faults in Active Distribution Network,No.056200KK52222166). （有源配电网复杂故障全息特征智能自适应分类识别与故障诊断技术研究,056200KK52222166）
