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机构地区:[1]成都信息工程学院,成都610225 [2]国网成都供电公司,成都610041 [3]华东交通大学电气工程学院,南昌330013
出 处:《电测与仪表》2016年第14期16-21,33,共7页Electrical Measurement & Instrumentation
基 金:国家自然科学基金资助项目(51267004);江西省科技厅工业支撑项目(20144BBE50008)
摘 要:针对目前选相方法不能快速、可靠识别所有故障类型的问题,提出了利用基波相量变化率的故障选相方法。线路发生短路故障后,故障相基波电流相量变化率受衰减直流分量及工频故障分量影响,其值迅速增大,而非故障相基波电流相量变化率变化较小;如果发生接地故障,零序电流基波相量变化率受衰减直流分量及工频故障分量影响,其值也会迅速增大,否则其值在零附近波动。依据不同类型故障中基波电流相量变化率的特征能够快速、可靠识别故障相。利用PSCAD/EMTDC仿真数据对算法进行测试,仿真结果表明:算法能够在故障后四分之一周波内准确判断故障相,具有较高可靠性。In view of the problem that the existing fault phase identification methods can't identify all fault types quickly and reliably,the phase selection method based on change rate of fundamental current phasor is proposed in this paper. When the short-circuit fault occurs,the change rate of fundamental current phasor of faulty phase,which is affected by the decaying DC component and the fundamental frequency fault component,increases rapidly,and that of non-faulty phase is small. If grounding fault occurs,the change rate of fundamental current phasor of zero sequence current is affected by the decaying DC component and the fundamental frequency fault component and increases rapidly; otherwise,its value is near zero. Then,the faulted phases can be identified quickly and reliably according to the characteristics of the change rate of fundamental current phasor under various conditions. The simulation data from PSCAD / EMTDC is applied to verify and test the proposed algorithm,the simulation results show that the algorithm which has high reliability can identify any types and phases of faults in a quarter cycle.
关 键 词:输电线 故障选相 故障分量 基波电流 相量变化率
分 类 号:TM773[电气工程—电力系统及自动化]
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