基于模糊推理的配电网停电原因分析系统  

Distribution Network Outage Cause Analyzing System Based on Fuzzy Inference

作　　者：周志宇[1] 周静[2] 江东林[3] 艾欣[1] 

机构地区：[1]华北电力大学电气与电子工程学院,北京市102206 [2]南瑞集团公司(国网电力科学研究院),北京市102200 [3]四川大学电气信息学院,四川省成都市610065

出　　处：《电力系统自动化》2013年第14期123-129,共7页Automation of Electric Power Systems

摘　　要：针对配电网停电原因复杂、停电研判决策不易等问题,对停电原因进行了深入分析并开发了应用系统。基于停电后其他相关系统可提供的信息及电网自身特点,提出了分层求解方法,并采用模糊外展理论进行了停电原因分析,采用混合架构完成了系统设计与开发,并在生产指挥平台上完成了系统部署。通过在配电网生产抢修指挥中的应用,证明了该系统的有效性和实用性。To tackle the outage cause identification problem and the difficulty in decision-making for power outage judgment of the distribution system, a distribution network outage cause analyzing system is proposed based on fuzzy inference, and its application system is developed. By drawing on the information provided by related systems and the characteristics of the distribution system itself, a hierarchical solving method and the fuzzy abduction theory are used to analyze the outage causes. The system is completed by using the hybrid architecture and the production is deployed on the production command platform. Application in the command of production and emergency repair shows the system proposed is effective and practical.

关 键 词：配电网 模糊推理 停电原因 停电研判 

分 类 号：TM73[电气工程—电力系统及自动化]