故障导致电力系统不可观情况下的故障定位方法

发布时间：2018-11-15 10:59

【摘要】：故障发生后电网的拓扑结构发生变化,可能会造成电力系统失去可观性。现有的辨识方法忽略了这种特殊情况下对定位准确性的影响,而若能准确地辨识故障位置则可以在故障发生后采取保护策略,阻止故障的扩大。针对这一问题首先分析了在常规电网结构中不平衡电流的计算方法,研究了故障发生后不平衡电流与故障线路之间的关系。然后分析了几类可能的同步相量测量装置(phasor measurement unit,PMU)配置情况,研究了PMU配置位置与故障发生后的系统不可观性的关系,揭示了几种失去可观性情况下的不平衡电流值的变化规律。利用不平衡电流计算值反推故障位置的方法提出了故障定位方法,制定了故障定位流程。最后基于BPA仿真软件搭建了一个35节点的电力系统,分别在不同的PMU配置位置下仿真对比了定位效果。结果表明所提出的方法能够准确地定位故障。所提方法的适用于结合保护装置动作信息进行广域后备保护,并且扩充了短路故障定位的适用范围。
[Abstract]:The topology of the power system may lose its observability after the fault occurs. The existing identification methods ignore the influence of this special situation on the location accuracy, and if the fault location can be accurately identified, the protection strategy can be adopted after the fault occurs to prevent the expansion of the fault. To solve this problem, this paper first analyzes the calculation method of unbalanced current in conventional power network structure, and studies the relationship between unbalanced current and fault line after the fault occurs. Then, the configuration of several possible synchronous phasor measuring devices (phasor measurement unit,PMU) is analyzed, and the relationship between the location of PMU configuration and the unobservability of the system after the failure is studied. The variation law of unbalanced current value in several cases of loss of observability is revealed. A fault location method is proposed by using the calculation value of unbalanced current to push back the fault location, and the fault location flow is established. Finally, a 35-bus power system is built based on BPA simulation software, and the location effect is simulated and compared under different PMU configurations. The results show that the proposed method can locate the fault accurately. The proposed method is suitable for wide area backup protection combined with protection device action information, and extends the application range of short circuit fault location.
【作者单位】：新能源电力系统国家重点实验室(华北电力大学);
【基金】：国家自然科学基金项目(51627811) 中央高校基础研究基金(2016ZZD01) “111”计划项目(B08013)~~
【分类号】：TM711

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