摘要
针对现有电网故障诊断专家系统在省级及以上调度中心应用时所存在的诊断速度慢、专家知识在线维护困难等问题,提出基于知识网格技术的智能输电网故障诊断方法。首先将知识网格技术引入智能输电网故障诊断领域;其次结合智能输电网故障诊断的实际应用背景,构建智能输电网故障诊断知识地图,并介绍智能输电网故障诊断知识地图中各个部分的生成方法;最后根据实际案例,对比分析基于专家系统的方法和基于知识网格技术的电网故障诊断方法在诊断效率和知识维护等方面的差异,并指出这2种方法的适用环境。
There are some problems in current power grid fault diagnosis system based on expert system such as time-consuming diagnosing and difficulty in on-line expert knowledge maintenance especially in high level dispatching centre. A novel fault diagnosis approach of smart trans- mission grid based on knowledge grid technology was presented for solving problems mentioned above. Firstly, the knowledge grid technology was introduced to smart transmission grid fault diagnosis field. Then the knowledge map of fault diagnosis was designed according to the background of real power system application. And the generation methods of each part in the knowledge map were analysed in detail. Finally, a distinction between fault diagnosis system of power grid based on expert system and knowledge grid technology was contrasted with two power grid practical applications test, and the applicable conditions of two methods were described too.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2010年第4期8-15,共8页
Proceedings of the CSEE
基金
国家重点基础研究发展计划项目(973项目)(2004CB217904)~~
关键词
电力系统
智能输电网
故障诊断
诊断效率
知识网格
知识地图
power system
smart transmission grid
fault diagnosis
diagnosis efficiency
knowledge grid
knowledge map
作者简介
作者简介：周子冠（1981-），男，博士研究生，研究方向为电力系统分析与监控、智能电网，zzg@epri．sgcc-com-cn
白晓民（1951-），男，教授级高级工程师，研究方向为智能电网、电力系统分析与监控、电力市场和电能质量。
