基于粒子群算法的电力系统无功优化研究

Reactive power optimization based on particle swarm optimization algorithm

结合电力系统无功优化问题的实际情况,根据粒子群优化算法的基本原理和特点,采用粒子群算法对电力系统无功优化数学模型进行优化计算。用MATLAB编写该计算程序,并利用IEEE6标准节点系统的仿真结果,验证所用算法对于研究无功优化的可行性和有效性。

This paper are using the modified algorithm for power system reactive power optimization mathematical model of optimization calculation according to the actual situation of power system reactive power optimization problem and the basic principle and characteristics of particle swarm optimization algorithm. Then,we use the MATLAB program of the improved algorithm,combined with the formula to calculate optimization program,and results show the algorithm study the feasibility and effectiveness of reactive power optimization by use the IEEE6 standard node system simulation results.