基于粒子群算法的直流系统网架结构优化设计

Optimal design of grid structure in a DC system based on a PSO algorithm

故障电流的抑制问题一直是阻碍柔性直流输电发展的主要因素之一,故障电流主要受直流线路上的直流潮流影响。然而,一旦直流系统发生大规模潮流转移,会对故障电流的抑制造成极大挑战。为了优化直流系统的潮流转移特性,将潮流分布熵和潮流转移熵作为描述直流系统潮流转移特性的指标。结合经济成本,加权构建综合指标,作为粒子群(Particle Swarm Optimization,PSO)算法的优化目标函数,以此寻找潮流转移特性最优的直流系统网架结构。通过与其他类型的网架结构的直流系统对比表明,采用提出的优化方法后,系统的潮流转移特性得到了明显提高,同时能够控制经济成本。

The problem of fault current suppression is one of the main factors hindering the development of flexible high voltage direct current.The fault current is mainly affected by the DC power flow on the DC line.However,once the DC system breaks and leads to large-scale power flow transfer,the fault current suppression will be greatly challenged.In order to optimize the power flow transfer characteristics of a DC system,this paper takes the power flow distribution entropy and power flow transfer entropy as the indices to describe the power flow transfer characteristics of a DC system.Combined with the economic cost,a comprehensive index is constructed by weight as the optimization objective function of a particle swarm optimization algorithm,so as to find the optimal grid structure of the DC system considering the economic cost of power flow transfer characteristics.Compared with other types of grid structure DC systems,the proposed optimization method can improve the power flow transfer characteristics and control the economic cost.