引用本文: | 闫丽梅,周忠媛,徐建军,等.基于告警时序的输电设备故障定位方法的研究[J].电力系统保护与控制,2018,46(7):38-48.[点击复制] |
YAN Limei,ZHOU Zhongyuan,XU Jianjun,et al.Research on the method of fault location of transmission device based on time series of alarm[J].Power System Protection and Control,2018,46(7):38-48[点击复制] |
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摘要: |
电网故障设备定位如果只依靠静态告警信息,不能计入告警后续信息,则会导致电网故障设备定位精度低和出现多解的问题,因此考虑了告警的动态时序性。基于告警时序信息,定义了故障设备状态时序矩阵、告警时序矩阵、断路器时序矩阵、主保护时序矩阵、近后备保护时序矩阵和远后备保护时序矩阵以及矩阵中元素的建立方法。同时为了求解期望值,定义了断路器期望时序矩阵、主保护期望时序矩阵、近后备保护期望时序矩阵和远后备保护期望时序矩阵。为了形成期望值矩阵,又定义了设备-主保护关联矩阵、设备-近后备保护关联矩阵和设备-远后备保护关联矩阵。基于SCADA和WAMS的开关和保护信息,构建了故障设备定位的时序目标函数。以设备状态的时序矩阵元素为待求解的状态量,利用改进的免疫遗传算法作为求解时序目标函数的方法。这样求解的设备状态不仅包含设备故障与否的状态,还包括设备故障时间。特别是对于电网中有多个设备不同时间动作的情况,可以清晰识别。同时对免疫遗传算法进行改进,形成了基于记忆的免疫遗传算法,解决了动态告警信息被忽略的问题,提高了故障设备定位的速度和精度。 |
关键词: 告警时序 故障定位 时序矩阵 免疫遗传 时序目标函数 |
DOI:10.7667/PSPC170360 |
投稿时间:2017-03-14修订日期:2017-12-25 |
基金项目:国家自然科学基金项目(51774088) |
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Research on the method of fault location of transmission device based on time series of alarm |
YAN Limei,ZHOU Zhongyuan,XU Jianjun,WANG Hongyu,SONG Jialin |
(School of Electrical Engineering & Information, Northeast Petroleum University, Daqing 163318, China) |
Abstract: |
If the fault location of the power grid equipment only depends on the static alarm information, not records subsequent alarm information, it will leads to low positioning accuracy of fault location and multi-solution problem. So, the dynamic timing sequence of alarms are considered. Based on alarm timing sequence information, timing matrix of fault equipment state, timing matrix of alarm, timing matrix of circuit breaker, timing matrix of main protection, timing matrix of near backup protection, and timing matrix of remote backup protection, as well as method of establishing element in matrix are defined. Also, in order to solve the expected value, expected timing matrix of the circuit breaker, expected timing matrix of main protection, expected timing matrix of near backup protection and expected timing matrix of remote backup protection are defined. For forming the expected value matrix, correlation matrix of equipment-main protection, correlation matrix of equipment-near backup protection and correlation matrix of equipment-remote backup protection are defined. Based on the switch and protection information of SCADA and WAMS, the timing sequence objective function of fault location is constructed. Taking elements of the timing matrix of the device state as the quantity of state to be solved, the improved immune genetic algorithm is used to solve the timing sequence objective function. In this way, the solved device status not only includes the state of equipment failure or not, but also the time of equipment failure. Particularly, the condition that multiple devices operating at different times in power grid can clearly be identified. At the same time, the immune genetic algorithm is improved to form a memory based immune genetic algorithm, which solves the problem that the dynamic alarm information is ignored and improves the speed and accuracy of fault location. This work is supported by National Natural Science Foundation of China (No. 51774088). |
Key words: alarm timing fault location timing matrix immune genetic sequential objective function |