电网技术2011，Vol.35Issue(9)：216-222,7.
基于仙农模糊熵的融合故障选线方法
A Shannon Fuzzy Entropy Based Approach to Merge Fault Line Selection Results
摘要
Abstract
Applying S-transform to the decomposition of zero-sequence current and voltage, the amplitudes and phases in the results of S-transform are chosen as fault characteristic quantities. The meaning of Shannon fuzzy entropy is researched and by means of the relation between fuzzy entropy and uncertainty the confidence degree is defined to depict the certainty whether the event occurs or not. The principles of two fault line selection methods based on S-transform, I.e., the phase comparison method and the energy function method, are presented, and based on the defined confidence level the fault line selection results from the two methods are merged, and then the fault line can be determined. The final results of the proposed method not only can determine the fault line, but also can give the fault line identify confidence degree by which the fault happens in the selected line. On PSCAD/EMTDC platform a simulation model for distribution system with four feeders is built, and simulation results show that fault line identification by the proposed method possesses high correct recognition rate. In noisy environment the behavior of merged fault line selection method is compared with that of single fault line selection method, and comparison result shows that the former possesses stronger anti-noise performance.关键词
小电流接地系统/故障选线/仙农模糊熵/选线信心度Key words
small current neutral grounding system/fault line selection/Shannon fuzzy entropy/confidence degree of fault line identification分类
信息技术与安全科学引用本文复制引用
张钧,何正友,陈鉴..基于仙农模糊熵的融合故障选线方法[J].电网技术,2011,35(9):216-222,7.基金项目
国家自然科学基金项目(50877068). （50877068）
