基于相关分析和模糊推理的故障选相元件

A Novel Faulty Phase Selector Based on Correlation Analysis and Fuzzy Reasoning

提出了一种基于相关分析和模糊推理的故障选相元件。利用电流的故障分量提取出正、负、零序电流,然后对正、负序电流进行相关分析,利用模糊集合对相关系数建立多特征判据进行选相。该方案选相快速,不受过渡电阻、故障初始角的影响,与电流突变量差选相元件相比提高了在高阻接地时选相的灵敏度和两相接地短路时选相的可靠性。仿真结果验证了该选相方案的有效性。

A novel faulty phase selector based on correlation analysis and fuzzy reasoning is proposed. Using the fault components of current, positive-, negative- and zero-sequence currents are extracted, then correlation analysis of positive- and negative-sequence currents are performed; using fuzzy set, multi-characteristic criteria for correlation coefficients are established to conduct faulty phase selection. The proposed method is insensitive to transition resistance and fault inceptive angle, comparing with faulty phase selector based on superimposed differential current between two phases, the sensitivity of faulty phase selection of the proposed method can be improved while the transmission line is grounded via high-resistance and the reliability of faulty phase selection can also be improved for two-phase short circuit grounding fault. Simulation results show that the proposed method is effective.