基于多特征量判据的新型配电系统早期故障检测  

Multiple Characteristics Criterion Based Incipient Fault Detection of Distribution Systems

作　　者：王安宁 范荣奇 张旸 刘嘉超 胡薇 钟世民 贾科[2] WANG Anning;FAN Rongqi;ZHANG Yang;LIU Jiachao;HU Wei;ZHONG Shimin;JIA Ke(State Grid Shandong Electric Power Company,Jinan 250001,China;School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China;State Grid Shandong Electric Power Company Qingdao Power Supply Company,Qingdao 266002,China)

机构地区：[1]国网山东省电力公司,山东济南250001 [2]华北电力大学电气与电子工程学院,北京102206 [3]国网山东省电力公司青岛供电公司,山东青岛266002

出　　处：《中国电力》2024年第9期181-193,共13页Electric Power

基　　金：国网山东省电力公司科技项目(520602220002)。

摘　　要：高比例新能源接入下新型配电系统故障特性发生显著变化,运行方式多变、短路电流受限。电弧类早期故障是系统发生短路前的征兆,通过提前对早期故障的有效识别能够避免新型配电系统短路故障难以隔离的问题。首先,建立了早期故障的电气量与温度量定量解析模型,通过理论分析指出仅依靠单一的电气量或温度量均难以实现可靠的检测;然后,综合电信号的快速性和热信号的高灵敏性和可靠性,将电弧功率作为复合特征量来判别早期故障,提出了结合电流量与温度量的早期故障检测方法;最后,通过PSCAD仿真、现场数据及实验室模拟故障试验证明了该方法的有效性。The fault characteristics of the new distribution system have changed significantly under the high proportion of new energy access,with variable operation modes and limited short-circuit currents.In this regard,arc-type early faults are the signs of short-circuit in the power system.The effective identification of early faults in advance can avoid the problem of short-circuit faults,which is difficult to jump off.Based on the equivalent model of early faults,the paper analyses the electrical quantity characteristics and temperature characteristics of the fault arc,and proposes an arcing high-resistance fault detection method that combines the current and temperature characteristics at the same time.The method integrates the speed of electrical signals and the high sensitivity and reliability of thermal signals,and then based on the composite characteristic quantity fault parameter identification criteria to detect the early faults.The effectiveness of the proposed method is verified comprehensively by simulation in PSCAD,field data and fault test in labs.

关 键 词：新型配电系统 早期故障 故障检测 电弧模型 复合特征量判据 

分 类 号：TM73[电气工程—电力系统及自动化]