基于SABSO算法的含分布式电源配电网故障定位

Fault Location of Distribution Network with Distribution Power Supply Based on SABSO Algorithm

随着配电网中分布式电源的大规模应用,以及配电网规模的不断扩大,使得含分布式电源配电网的故障定位难度不断增加。为了有效解决这个问题,针对传统人工智能算法和矩阵法的不足,提出了一种模拟退火天牛群(SABSO)算法,该算法融合了天牛须搜索算法、粒子群算法和模拟退火算法的优点,并将此算法首次应用在含分布式电源配电网的故障定位中,大幅提高了故障定位的准确率和容错能力。以33节点配电网模型为例,通过Matlab2019a软件进行算例仿真验证了该算法的可行性和有效性。该算法能够快速准确地定位含分布式电源配电网的单一故障区段和多重故障区段,并在某些线路开关上传的信息发生畸变情况下也可以迅速准确定位故障区段,不易陷入局部收敛,具有较快的全局收敛性。

The large⁃scale application of distributed power in the distribution network and continuous ex⁃pansion of scale of the distribution network keep the difficulty of locating faults in the distribution network containing distributed power increase.For solving the problem effectively and in view of the shortcomings of traditional artificial intelligence algorithms and matrix method,a kind of simulated annealed beetle swarm(SABSO)algorithm is proposed.This algorithm combines the advantages of the beetle search algorithm,par⁃ticle swarm algorithm and simulated annealing algorithm,is used for the first time in the fault location of a distribution network with distributed power sources,which greatly improves the accuracy and fault tolerant capability of fault location.The 33⁃node distribution network model is taken as an example,the feasibility and effectiveness of the algorithm is verified by the simulation through Matlab2019a software.The algorithm can quickly and accurately locate both single and multiple fault sections of the distributed power distribu⁃tion network and can,in case of distortion of information transmitted on certain line switch,quickly and ac⁃curately locate the fault section without falling into local convergence and possesses global convergence.