人工神经网络在变电智能决策中的应用

Application of Artificial Neural Network in Intelligent Decision-making of Substation

近年来,随着国家电网公司“三集五大”体系建设的全面开展、“调控一体化”体系的快速建设,各级调控中心需要监控更多的输变电设备,需要处理的故障类型更加复杂,监控信息更加庞大。亟需提升调控中心监控的效率和信息处理速度。本文基于电网故障诊断、专家库、数据挖掘三个方面,提出运用人工智能算法来处理设备检测信息、代替设备检测人员对检测信息进行预处理。

In recent years,with the comprehensive development of the State Grid Corporation's"three sets and five major"system construction and the rapid construction of the"regulation and control integration"system,the controling centers at all levels need to monitor much more transmissions and transformation equipments,the types of faults which need to be handled are more complex,and the monitoring information is larger.It is urgent to improve the monitoring efficiency and information processing speed of the control center.Based on three aspects of power grid fault diagnosis,expert database and data mining,this paper proposes to use artificial intelligence algorithm to process equipment detection information,instead of equipment inspectors to preprocess the detection information.