摘要
目前电网难点之一是:融合保护和断路器出现拒动和误动的模型求解,以及诊断出来解的不唯一性。此提出电因网信息物理模型故障诊断优化模型,可将故障问题表示成求解目标函数是极值的0-1整数规划问题,从而可以通过严密的数学方法来确定故障元件。针对目前故障诊断优化模型诊断结果的不唯一和不合理性,要充分利用故障区域的元件关系以及上传的告警信息的特征,进行深入的分析。首先,对故障诊断问题进行解析化表达,构建解析模型,充分考虑保护和断路器的解析规则和状态规则。其次,提出时序特性的故障假说,并根据警报信息的时序特性来构建计及时序特性的故障诊断模型,从而有效避免模型多解的问题。然后,利用模拟退火优化的算法来求解,结合改进的诊断模型,求出符合故障场景的解。最后,通过实例来验证改进后解的更准确。
One of the difficulties of power network at present is: The model solution of fusion protection and circuit breaker, and the non-uniqueness of diagnosis solution. This paper puts forward the fault diagnosis optimization model of the information physics model of the Electric power network, which can represent the fault problem as the 0-1 integer programming problem that solves the extreme value, so that the fault element can be determined by strict mathematical method. Aiming at the nonuniqueness and irrationality of the diagnosis results of the current fault diagnosis optimization model, we should make full use of the component relationship of the fault area and the characteristics of the uploaded alarm information, and make an in-depth analysis. Firstly, the problem of fault diagnosis is analyzed, and the analytic model is constructed, and the analytic Rules and state rules of protection and circuit breaker are fully considered. Secondly, the fault hypothesis of time series characteristics is put forward, and the fault diagnosis model of time series characteristics is constructed according to the timing characteristics of alarm information, so as to avoid the problem of multi-solution of the model effectively. Then, the algorithm of simulated annealing optimization is used to solve the problem, and the solution of the fault scene is obtained by combining with the improved diagnosis model. Finally, an example is given to verify that the improved solution is more accurate.
作者
周杰华
Zhou Jiehua(Basic Department of Hulun Buir Vocational and Technical College,Hulunbeier Neimenggu,021306)
出处
《电子测试》
2019年第12期51-52,共2页
Electronic Test
关键词
电网
信息物理模型
故障诊断
0-1整数规划
时序特性
模拟退火算法
power grid
information physics model
fault diagnosis
0-1 integer programming
time seriescharacteristics
simulated annealing algorithm