电力系统及其自动化学报2016，Vol.28Issue(10)：74-79,6.DOI:10.3969/j.issn.1003-8930.2016.10.013
混合模糊H网在配电网故障识别中的应用
Application of Hybrid Fuzzy H Net to Recognition of Fault Types for Distribution Network
王思明 1童安蓉1
作者信息
- 1. 兰州交通大学自动化与电气工程学院，兰州 730070
- 折叠
摘要
Abstract
The identification of fault types is the key to the location of faults in the distribution network. To this end ,a new hybrid fuzzy H net(HFHN)is proposed. Using Clarke modal transformation and S-transformation,the zero-se⁃quence voltage amplitude and voltage sag amplitude are extracted from the three-phase voltage within the 1/4 period af⁃ter the occurrence of the fault;then through fuzzy reasoning,a fuzzy value is obtained as the characteristic quantity;fi⁃nally,the recognition of fault types is performed by fuzzy H net. A simulation model is built by the application of ATP/EMTP,and various short circuit faults are recognized. Simulation results indicate that the proposed method is feasible , and it is not affected by factors such as transition resistance and fault position. Compared with other methods ,HFHN has better accuracy and faster speed.关键词
配电网/故障识别/S转换/模糊逻辑/模糊H网Key words
distribution network/fault type recognition/S-transformation/fuzzy logic/fuzzy H net(FHN)分类
信息技术与安全科学引用本文复制引用
王思明,童安蓉..混合模糊H网在配电网故障识别中的应用[J].电力系统及其自动化学报,2016,28(10):74-79,6.
