基于粒子群算法并计及静态电压稳定性的电力系统无功规划

提出了基于改进粒子群优化算法的无功规划方法,该方法有效提高了初始粒子的质量,消除了传统粒了群优化算法的边界振荡现象,利用电压稳定裕度指标对系统负荷节点进行排序,选择其中电压稳定性较薄弱的节点作为无功补偿装置的安装点,将电压稳定裕度最大作为无功规划的目标函数之一,以改善系统的静态电压稳定性。该规划方法在IEEE30节点系统的应用结果表明其在降低网损的同时能够有效提高负荷节点的电压稳定裕度。

Reactive Power Planning Based on Improved Particle Swarm Optimization with Static Voltage Stability

A reactive power planning method based on improved particle swarm optimization is presented. This method can effectively improve the quality of initial particles and eliminate the boundary oscillation in traditional particle swarm optimization. The voltage stability margin index is used to rank load buses and reactive power compensators are installed at nodes with weak voltage stability. The maximization of voltage stability margin is taken as one of objective functions of reactive power planning to improve the static voltage stability of power system. Application of the proposed method to IEEE 30-bus system shows that this method can effectively improve the voltage stability margin of load buses while reducing the power loss.