基于改进二进制万有引力算法的含DG配电网故障定位

Fault Location in Distribution Network with Distributed Generations Based on Improved Binary Gravitational Search Algorithm

为提高含DG配电网故障定位的准确性和快速性,对传统二进制万有引力搜索算法BGSA(binary gravita-tional search algorithm)的位置更新公式进行了改进,加入了种群初始化公式,使算法适用于配电网故障定位。针对二进制引力算法的早熟收敛和寻优精度问题,定义了一种自适应调节的衰减系数α,有效提高了算法搜索的准确度。将改进的引力算法应用于含DG的配电网故障定位中,并通过算例验证了该算法的可行性和有效性。结果表明该算法能够对复杂配电网进行准确的故障定位,且收敛速度快,容错性能好。

To improve the accuracy and rapidity of fault location in distribution network with distributed generations(DGs),this paper improves the location updating formula in the traditional binary gravitational search algorithm(BGSA)and adds a population initialization formula to BGSA,so that the improved algorithm can be applied to the fault location in distribution network.Considering the problems of premature convergence and optimization accuracy in BGSA,an self-adaptive attenuation coefficientαis defined,which improves the accuracy of BGSA effectively.The improved BGSA is applied to the fault location in distribution network with DGs,and the feasibility and validity of this algorithm is verified by a numerical example.Results indicate that the proposed algorithm can improve the accuracy of fault location for complicated distribution network with a fast convergent speed and excellent fault-tolerant ability.