基于分层多代理的配电网故障自愈恢复系统  

Self-recovery system based on layered multiple agent

作　　者：谢忠志[1] 李曙生[1] XIE Zhongzhi;LI Shusheng(Taizhou Polytechnic College,Taizhou Jiangsu 225300,China)

机构地区：[1]泰州职业技术学院,江苏泰州225300

出　　处：《自动化与仪器仪表》2022年第5期146-150,共5页Automation & Instrumentation

基　　金：2020江苏省高校自然科学研究(面上项目)(20KJD510008)。

摘　　要：采用“岛屿划分+模型评估与修正”调节模型,无法满足功率平衡条件,导致配电网运行崩溃。为了恢复能源供电,提出了基于多代理分层的配电网故障自愈方法研究。根据配电网故障自愈结构设置了控制中心代理、母线代理和一次设备代理的三层代理结构,构建配电网故障自愈恢复模型,确定供电恢复后馈线上供电节点总数和孤岛总数。设置线路容量、孤岛区域供电模型约束条件,对故障定位与隔离。设计故障自愈恢复流程,确定电池可用容量参数,利用本地信息优化主代理收集信息内容,分析各故障点负荷能力、供电能力、传输状态,由此完成电源恢复工作。构建配电网结构,分析单个故障时刻自愈能力和24 h自愈能力,由实验结果可知,该自愈方法最高自愈恢复率可达到98.8%,能够快速实现供电恢复。The adjustment model of "island division + model evaluation and correction" cannot meet the power balance condition, resulting in the collapse of the distribution network. In order to restore energy supply, a self-healing method based on multi-agent hierarchical distribution network fault is proposed. According to the self-healing structure of the distribution network, a three-layer agent structure of control center agent, bus agent and primary device agent is set up to build a self-healing recovery model of the distribution network failure, and the total number of power supply nodes and islands on the feeder after power restoration is determined. Set the line capacity and constraints of the isolated island power supply model to locate and isolate the fault. Design fault recovery process, determine the available battery capacity parameters, use local information to optimize the main agent to collect information content, analyze the load capacity, power supply capacity, and transmission status of each fault point, thus completing the power restoration work. Construct the distribution network structure, analyze the self-healing ability and the 24h self-healing ability at a single fault. From the experimental results, the highest self-healing recovery rate of this self-healing method can reach 98.8%, which can quickly achieve power supply recovery.

关 键 词：多代理分层 配电网 故障自愈 负荷 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]