高压智能电网的自愈研究

Research on High-Voltage Smart Grid Self-Healing

本文提出1种高压电网自愈的新方案:预先利用每一故障点的动作集合建立专家知识库;故障发生后,根据电网控制中心搜集的开关和保护动作信息,形成动作集合,并与专家知识库中每一故障点的动作集合进行匹配以判定故障点。以某智能电网220 kV控制中心为例,介绍了在高压电网发生故障后,利用专家知识库进行电网故障识别、利用视频技术确认故障点,故障隔离及电网恢复的过程。应用效果表明,该方案可自动、迅速隔离故障,并恢复电网非故障部分的运行,符合电网自愈的要求。

A new programme of high-voltage power grids self-healing is put forward.Based on that,a new high-voltage power grid self-healing scheme is proposed.The collections of protective trip information,i.e.action set of each fault point,are initially utilized to establish an expert knowledge base in advance.When a fault happens,the action set will be formed according to the action information of breakers and protections gathered by a power grid control center.Then,it will be compared and contrasted with the action set in the expert knowledge base to determine the fault point.A 220 kV smart grid control center in east China grid with a fault on its high-voltage power grid is taken as an example.The idea of high-voltage power grid self-healing is put forward,and the issues that need attention are summarized for prevention and tuning control during the self-healing process.The process of employing the expert knowledge base to identify the fault point,fault isolation and power grid restoration,are presented and then testified with the results from video technologies.The example shows that the proposed scheme can meet the requirement of grids self-healing.It can isolate a fault automatically and quickly,and then restore the non-fault part.This proposed approach can fulfill as a good reference for the construction of smart grids at the moment.