In this paper,a concept of voltage stability margin with partial voltage stability L is the base and an improved particle swarm optimization algorithm are proposed. Firstly,the weak node of the system volt-age is identified by the use of the voltage stability margin of the load node and this is taken as reactive pow-er compensation point. The margin is free from load growth mode and has defined upper and lower bounds. Then,with the minimum active power network loss as objective function,the reactive power optimization mathematical model of the power system is set up,and the improved particle swarm algorithm is proposed further. Introduction of"fly back"strategy and quadratic interpolation in the algorithm improves partial search ability and convergence speed. With the proposed method,the reactive compensation of the system is balanced and the reactive power source is allocated reasonably. Finally,the reactive power optimization of the IEEE 30 node system is made and the effectiveness of the proposed method is shown by the Matlab simulation result.%提出了以局部电压稳定L指标为基础的负荷节点电压稳定裕度概念和改进的粒子群优化算法.首先利用负荷节点电压稳定裕度识别系统电压弱节点,以此作为无功补偿点,该裕度不受负荷增长方式的影响,具有确定的上下界.然后以有功网损最小为目标函数,建立电力系统无功优化数学模型,进而提出改进的粒子群算法.该算法中引入"飞回"策略及二次插值算子,提高了算法的局部搜索能力和收敛速度.该方法使系统无功得到平衡,无功源得到合理配置.最后,对IEEE 30节点系统进行无功优化,Matlab仿真结果表明了所提方法的有效性.
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