基于IPSO优化发电调度的静态电压稳定分析  

Analysis of Static Voltage Stability Based on Improved Particle Swarm Optimization to Optimize Generation Dispatch

作　　者：伍利[1] 陈少芳[1] 南海鹏[1] 

机构地区：[1]西安理工大学水利水电学院,西安710048

出　　处：《电力系统及其自动化学报》2015年第4期92-97,共6页Proceedings of the CSU-EPSA

摘　　要：发电机出力增长方式对静态电压稳定临界点有一定的影响,优化发电机有功出力是提高系统静态电压稳定的主要控制手段。文中对粒子群算法中惯性权重和加速常数进行改进,提出以发电增量作为连续潮流的控制变量,实现负荷增量在发电机间的最优分配。该方法以系统静态电压稳定下的最大负载为目标,基于改进粒子群算法优化发电机有功出力,以连续潮流法计算IPSO的适应度函数,确定发电机最优调度模式下的系统最大静态电压稳定裕度。应用该法对IEEE30系统的评估,验证了该方法的正确性和有效性。Generator active power output growth mode greatly affects the static voltage stability critical point, one of the main control means to enhance power system stability is the optimization of the active power output of the generator. Taking the generation increments as the control variables in the continuation power flow （CPF）to effectively achieve load dispatch among participating generators is proposed, in which the inertia weight and acceleration coefficients for particle swarm optimization （PSO） algorithm are improved. The method treats the maximum loading margin under the static voltage stability as the objective function, and adjusts the active power output increment of each generator based on improved particle swarm optimization （IPSO） and utilizes CPF to caleulate the fitness function of IPSO, ultimately determine the maximum static voltage stability margin under the optimal generator scheduling mode. The application of this method to IEEE30-bus systems indicates that the proposed method is feasible and effective.

关 键 词：静态电压稳定裕度 发电调度 连续潮流法 改进粒子群优化 

分 类 号：TM744[电气工程—电力系统及自动化]