基于人工蜂群算法的负荷频率控制仿真研究

Simulation Research for Load Frequency Control Based on Multi-objective Optimization

针对煤矿两区域互联再热火力发电系统中的负荷频率控制(LFC)问题,提出了一种人工蜂群算法的多目标优化实现方法。采用人工蜂群算法和加权和方法,将多目标优化转化为复合目标函数,依据系统负荷变化利用加权和方法对复合目标函数做归一化处理,实现了两区域PID控制器增益同步调谐,获得了频率响应的调节时间和超调量达到最佳折中条件。仿真结果表明,该方法简单、有效,在不同的运行条件情况下具有良好的鲁棒性。

This paper presents the implementation of multi-objective based optimization of artificial bee colony(ABC)algorithm for load frequency control(LFC)on a two area interconnected reheat thermal power system.The multiobjective is transformed into a composite objective function that is normalized by the weighted sum method.According to the system,the PID controller gains for both areas which are tuned simultaneously.The best compromise conditions areachieved between overshoots and settling time of frequency response.Results of simulation show the proposed method is simple,effective,and the system has good robustness under varying load demand.