电力系统自动化2017，Vol.41Issue(4)：35-40,6.DOI:10.7500/AEPS20160614002
基于交互式主动探测的电力综合数据网故障定位算法
Fault Location Algorithm of Integrated Data Network for Power System Based on Interactive Active Detection
摘要
Abstract
In view of the accuracy and efficiency requirements on fault location in the integrated data network for power system,an interactive fault diagnosing mechanism is proposed.To resolve the fault location set selection problem in the mechanism,an interactive probing choice algorithm (IPCA) is proposed.A Bayesian model is built for the nodes of power integrated data network and the candidate set of location probes.The set is divided into several subsets with the help of conditional independence character of Bayesian networks.The detection value is introduced to measure the diagnostic capacity of the probe and the time complexity of the fault location set selection is reduced using the submodular character in the interaction update process.Simulation results show that IPCA shortens the location time by 20％ on average while ensuring the accuracy of fault location.关键词
电力综合数据网/交互式主动探测/故障定位/贝叶斯网络/子模性Key words
integrated data network for power system/interactive active detection/fault location/Bayesian networks/submodular character引用本文复制引用
朱彦沛,邢宁哲,纪雨彤,李文璟,喻鹏..基于交互式主动探测的电力综合数据网故障定位算法[J].电力系统自动化,2017,41(4):35-40,6.基金项目
国家电网公司科技项目(52010116000W).This work is supported by State Grid Corporation of China (No.52010116000W). （52010116000W）
