基于直觉模糊粗糙集相似度的电压暂降源定位方法

为明确电压暂降责任,协调缓解纠纷,以进行故障检测、诊断及制定缓和措施,有必要对电压暂降源进行定位。现提出一种基于直觉模糊粗糙集的电压暂降源定位方法。该方法根据系统的网络拓扑结构及参数形成节点阻抗矩阵,基于节点阻抗矩阵计算不同线路故障时各监测点的正序电压,建立电压暂降特征信息数据库。利用电能质量监测装置采集的量测信息构造各线路的直觉模糊粗糙集和直觉模糊粗糙正理想集,计算其相似度,将相似度最大值所对应的线路判定为故障线路。在IEEE30节点标准测试系统进行数字仿真,验证了该方法的有效性和准确性。方法物理意义明确,编程简单,可应用于工程实践。

Voltage Sag Source Locating Method Based on Similarity Measure of Intuitionistic Fuzzy Rough Sets

In order to distinguish responsibility, coordinate dispute mitigation, and facilitate fault detection, diagnosis and mitigation measures, it is necessary to locate the voltage sag in system. A voltage sag source location method based on intuitionistic fuzzy rough sets is proposed. The nodal impedance matrix is obtained according to network topology and system parameters. The positive sequence voltages of monitoring points when line faults occur are calculated using impedance matrix. A database of identification information of voltage sag is established. Using measurement information collected by power quality monitoring devices, the intuitionistic fuzzy rough sets and the positive ideal intuitionistic fuzzy rough sets of each line are constructed. The similarity of the two sets of each line is calculated. Then the line with maximal similarity value is judged as the fault line. Simulation results in the standard IEEE 30-bus test system verify the validity and accuracy of proposed method. The method has clear physical meaning and easy implementation, which can be adopted in engineering practice.