基于测度分析及模糊集理论的单相自适应重合闸研究

提出一种基于模糊集合理论的电力系统单相自适应重合闸优化算法。该算法能够正确进行瞬时故障与永久故障的区分。当瞬时性故障发生时，在短路点电弧熄灭后的恢复电压阶段，断开相各电气量的关系与永久性故障将有本质的不同。在详细分析断开相工频电气量的基础上，用滤波后的采样值对4种判据建立3种相似性测度及模糊隶属函数：用绝对值指数法确定幅值的隶属度，用相关系数测度建立2种相位判据的隶属度，用数量积法确定功率方向的隶属度，并进行模糊综合故障性质识别。给出了相应的模糊数学模型。经过大量仿真试验，获得了满意的效果。

Study on single-pole adaptive reclosing based on fuzzy set and measure analysis

An optimization algorithm based on fuzzy set for single-pole adaptive reclosing in powersystem is proposed. It can distinguish transient fault from permanent fault occurred on the EHV(Extra High Voltage) transmission line. During the voltage recovery period after the extinction of fault arc,the amplitude and phase of transient fault voltage is essentially different from those of permanent fault voltage. Based on the analysis of fault voltage using filtered sample data,three similarity measures and fuzzy membership functions are set up according to four criteria:the membership of amplitude using the exponent of absolute value;the membership of two phases according to their correlation measure,the membership of power direction using the quantity product. The fuzzy integrated fault identification is carried out as well. The relative fuzzy math models are presented. All the conclusions have been verified by simulations.