引用本文: | 李一泉,焦邵麟,曾耿晖,等.基于贝叶斯网络的电网复杂故障推演新方法[J].电力系统保护与控制,2020,48(4):57-63.[点击复制] |
LI Yiquan,JIAO Shaolin,ZENG Genghui,et al.A new method to deduce complex fault of power grid based on Bayesian network[J].Power System Protection and Control,2020,48(4):57-63[点击复制] |
|
摘要: |
为了分析电网复杂故障过程,基于保护装置与断路器的动作信息构建贝叶斯网络,提出了电网复杂故障推演新方法。应用电网实际拓扑结构信息、继电保护装置和断路器的动作信息构建贝叶斯网络。基于贝叶斯网络进行故障元件诊断,针对远后备保护、近后备保护误判的两种特殊情况,制定了专家系统规则实现保护拒动、误动的识别。将保信系统上送信息与拒动误动分析结果按主保护层-近后备保护-远后备保护-断路器层顺序进行信息整合,推演出发生故障时各层保护装置以及断路器动作先后顺序,实现了电网复杂故障推演。 |
关键词: 贝叶斯网络 故障诊断 故障推演 拒动 误动 |
DOI:10.19783/j.cnki.pspc.190451 |
投稿时间:2019-04-23修订日期:2019-05-28 |
基金项目:国家重点研发计划项目资助(2016YFB0101900);广东电网公司科技项目资助(GDKJXM20162205)“基于故障录波信息的电网故障快速诊断技术研究及高级功能应用” |
|
A new method to deduce complex fault of power grid based on Bayesian network |
LI Yiquan,JIAO Shaolin,ZENG Genghui,LIU Wei,TU Qingrui,TAN Qian,CONG Mingyi,ZHAN Qingcai |
(Guangdong Electric Power Dispatch and Control Center, Guangzhou 510032, China;Beijing Sifang Protection Relay and Automation Company, Beijing 100085, China) |
Abstract: |
In order to analyze the complex fault process of power grid, a Bayesian network is constructed based on the action information of protective devices and circuit breakers, and a new method of complex fault deduction of power grid is proposed. The Bayesian network is constructed by using the actual topological structure information of the power grid, the action information of relay protection devices and circuit breakers, and the fault components are diagnosed based on the Bayesian network. In view of the two special cases of remote backup protection and near backup protection misjudgment, the rules of expert system are formulated to realize the recognition of protection rejection and misoperation. The analysis results of information and malfunction rejection of the system are integrated according to the sequence of main protection layer-near backup protection-far backup protection-circuit breaker layer, and the sequence of action of each layer of protection device and circuit breaker is deduced to realize the deduction of power grid fault. This work is supported by National Key Research and Development Program of China (No. 2016YFB0101900) and Science and Technology Project of Guangdong Power Grid Company (No. GDKJXM20162205) “Technical Research and Advanced Functions Application of Power Network Fault Fast Diagnosis Based on Fault Record Information”. |
Key words: Bayesian network fault diagnosis fault inference rejection misoperation |