摘要
针对传统的配电网故障恢复方法其效率低下,对复杂智能配电网系统的适应能力差的问题,结合现有多代理技术的思想,提出了基于多代理技术并结合改进遗传算法的智能配电网故障恢复的新方案。以某地区实际配电网模型进行仿真,结果显示,将多代理技术运用到配电网故障恢复中能获得更好恢复效率,并能够尽量减少故障区域的重要负荷的失电,并对非故障区域的失电负荷进行供电,仿真实验证实了多代理技术在配电网故障恢复中的可行性和优越性。
The traditional methods for fault recovery of distribution network are inefficient and they have a poor ability to adapt the complex systems .So combining with the existing multi -agent technology , a new idea for fault recovery of smart distribu-tion network is put forward based on multi -agent technology with the improved genetic algorithm .An actual distribution net-work model in one district is taken for example .The simulation results show that applying the multi -agent technology to the fault recovery of distribution network can obtain a better recovery efficiency , which can reduce the loss of important load in fault section as far as possible and can supply power for the power -lost load in non-fault section.The simulation test verifies the feasibility and superiority of the multi -agent technology in the fault recovery of distribution network .
出处
《四川电力技术》
2014年第4期1-5,共5页
Sichuan Electric Power Technology
基金
四川省科技支撑计划项目(2012GZ0009)
四川省电力公司科技项目(12H1541)
关键词
智能配电网
故障恢复
多代理
遗传算法
smart distribution network fault recovery multi-agent genetic algorithm