首页> 中文期刊> 《电力系统保护与控制》 >基于粒子群和差分进化算法的含分布式电源配电网故障区段定位

基于粒子群和差分进化算法的含分布式电源配电网故障区段定位

         

摘要

配电网中引入分布式电源将导致传统的故障区段定位方法不再适用。通过构建新的开关函数,提出了基于二进制混合算法的配电网故障区段定位方法。该方法可动态适应分布式电源的投切,在进行多重故障定位时只需确定一次正方向,利用双种群进化策略和信息交换机制实现了粒子群和差分进化算法的混合。算例分析结果表明该方法能够对含分布式电源的配电网中的单一和多重故障进行准确定位,并且具有一定的容错性和高效性。%As distributed generations in distribution networks have brought much influence to the fault current, the traditional fault-section location method of distribution networks may not work. By building a new switch function, this paper puts forward a new fault-section location method. The proposed method is based on a binary hybrid algorithm and can adapt itself to the change caused by the switching of DG. The positive direction needs to be determined only once, when the proposed method is used to locate multiple fault sections in multi-source distribution networks. The binary hybrid algorithm which is a combination of particle swarm optimization and differential evolution is based on a two-population evolution scheme and an information exchange mechanism. The simulation results indicate that the proposed method has accurate fault-section location abilities when it is used to locate single fault or multiple faults. In addition, the fault-tolerance and efficiency of the proposed method is verified by the results.

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