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王进强, 陈少华 (2013) 基于改进遗传算法的含分布式电源的配电网故障定位. 电力科学与工程, 29, 13-17.

被以下文章引用:

  • 标题: 基于萤火虫算法的含DG配电网故障区段定位Fault Location for Distribution Networks with DG Based on Firefly Algorithm

    作者: 岳凯旋, 王宝华

    关键字: 配电网, 故障定位, 萤火虫算法, 分布式发电Distribution Network, Fault Location, Firefly Algorithm, Distributed Generation

    期刊名称: 《Smart Grid》, Vol.5 No.4, 2015-08-20

    摘要: 萤火虫算法是一种新近提出的高级启发式算法,其具有概念简明、需要设置的参数少、收敛性好的优点。对配电网进行区域划分来降低解的维度并对萤火虫算法进行适当改进,提出了基于二进制萤火虫算法的含DG配电网故障定位方法。算例分析结果表明该方法在配电网发生单点以及多点故障,并伴有部分开关信息畸变情况下,均能够得到准确的结果,证明了其有效性。通过与粒子群算法进行对比,验证了萤火虫算法应用于配电网故障定位的快速性与可靠性。 Firefly algorithm is a new advanced heuristic algorithm, which has advantages of concise concept, few parameters need to be set and good astringency. By dividing the distribution network to reduce the solution’s dimension and improving the firefly algorithm, this paper puts forward a new method of fault location for distribution networks with DG based on binary firefly algorithm. Analysis of example shows that the proposed method is able to get accurate results when it is used to locate single fault or multiple faults in distribution networks accompanied by part of the switch under the distortion of information, which proves its effectiveness. Finally, the comparison results with particle swarm optimization algorithm testify its speed and reliability.

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