中文摘要：

针对传统馈线自动化自愈控制技术实时性差、互动性弱、可靠性低的问题,提出了基于Multi-agent系统的智能馈线自动化自愈控制方法。主站和每个智能配电终端均作为1个Agent,各Agent通过通信网络组成1个Multi-agent系统。各Agent通过信息交互,利用改进的差动电流法实现故障定位,并利用启发式搜索算法,以停电负荷最少和馈线负荷均衡为故障恢复目标、以供电恢复路径的负荷度最小为搜索规则,实现故障恢复。通过电磁暂态仿真软件PSCAD对某实际配电网进行仿真,利用改进的差动电流法,中间支路和边界支路均能实现准确地故障定位;利用启发式搜索方法,能实现非故障失电区全部负荷的供电恢复,故障恢复效果与传统的遗传算法相当,但是故障恢复时间明显缩短且满足负荷均衡。仿真结果表明,该自愈控制方法能够实现准确地故障定位和快速地故障恢复,可以可靠地应用于智能配电网。

英文摘要：

In order to solve the problems of bad real-time performance,poor interaction and low reliability in self-healing control technology for traditional feeder automation,we proposed a multi-agent based self-healing control method for intelligent feeder automation.The master station and each intelligent distributed terminal are all regarded as an agent,respectively,and all the agents construct a multi-agent system through communication network.By information exchange among the agents,the fault location is carried out based on the improved differential current method,and the fault service restoration is realized based on the heuristic research algorithm.The algorithm takes the least load measurement of each service restoration path as its searching rule,aiming at the least load loss and the feeder load balancing.Then,based on the electromagnetic transient simulation software PSCAD,an actual distribution network is simulated.In the simulation,by using the improved differential current method,accurate fault location on both middle branch and boundary branch is realized;using the heuristic search method,all loads in non-fault power interruption area can be restored,and the restoration effect is similar to that of the traditional genetic algorithm,but the restoration time is shortened obviously.The simulative results show that the proposed self-healing control method can realize accurate fault location and quick fault service restoration,and it can be reliably applied to smart distribution grid.