一种基于粒子群优化算法的转移潮流控制策略

A Particle Swarm Optimization Based Power Flow Transferring Control Strategy

首先利用网络参数和广域信息量推出电网支路负荷与节点注入负荷相关系数矩阵,对发电机及切负荷点进行分组;然后利用粒子群优化(PSO)算法对发电机加出力总量和减出力总量以及切负荷总量进行优化;再利用发电机及切负荷点的分组信息对已优化的发电机加出力总量和减出力总量以及切负荷总量进行合理分配,形成相应的有功转移潮流控制策略,从而达到对有功潮流精确控制的目的。该方法可以对单支路或多支路切除造成的支路过载进行精确的调整与控制,而且计算简便,快捷。通过对新英格兰39节点系统的数字仿真,验证了该方法的有效性和快速性,表明该方法具有较好的应用前景。

The grid branch-node coefficient matrix is obtained first based on the gird parameters and wide area information.Using this matrix,the generators and load shedding nodes can be sorted accordingly.Secondly,the sum of generators＇ positive outputs,negative outputs and load shedding are optimized using particle swarm optimization（PSO）.Thirdly,the sum of positive output,negative output and load shedding are rationally distributed by assorting generators and load shedding nodes,and the corresponding flow transferring control strategy is formed aiming at accurately controlling of flow transfers in the system.This method can precisely adjust and control line overloads due to re-sectioning of single branch or multiple branches in a simple and rapid way.The simulation of New England 39-bus system demonstrates that the control strategy is effective and fast,and that the method has good practical prospect.