基于粒子群算法的一次调频参数优化研究

Research on the generator unit primary frequency modulation parameter optimization based on PSO

本文以经济性为目标,在研究区域电网运行频率特性的基础上,在区域电网频率稳定的条件下,提出了基于粒子群算法的发电机组一次调频优化方法。建立了区域电网一次调频的仿真模型,仿真结果表明基于粒子群算法的以经济型为目标的一次调频参数优化方法是有效的。

This paper introduced the optimization theory, expounding the basic and the improved particle swarm optimization algorithm. In order to improve the regional power grid operation efficiency optimized the parameters of the primary frequency in the generator sets. On this basis, the simulation analysis was carried out on the grid by means of calculation to verify optimization algorithm was effective. On the basis of optimized primary frequency modulation parameters, the grid under the condition of stable improved its running efficiency.