基于蜂群算法的多目标加权优化负荷频率控制研究  

Research of Multi-objective Weighted Sum Optimization for Load Frequency Control Based on Artificial Bee Colony Algorithm

作　　者：涂雪芹[1] 

机构地区：[1]重庆电力高等专科学校电力系,重庆400053

出　　处：《计算机测量与控制》2015年第2期648-651,共4页Computer Measurement &Control

基　　金：国家自然科学基金项目(30971689)

摘　　要：为进一步提高两区域互联再热火力发电系统中工作频率和联络线功率的稳定性,提出了一种加权和多目标对负荷频率控制的优化方法;采用人工蜂群算法(ABC)和加权和方法实现LFC的多目标优化,而后将其转化为复合目标函数;根据负荷需求变化和系统参数变化情况,利用加权和方法对复合目标函数做归一化处理,使得两区域PID控制器增益达到同步调谐,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,在不同的运行条件和系统参数变化情况下具有良好的鲁棒性。In order to further improve stability of working frequency and tie-line power on a two area interconnected reheat thermal power system,an optimization scheme for the load frequency control （LFC） based multi-objective and weighted sum method is presented.The multi-objective is transformed into a composite objective function that is normalized by the artificial bee colony （ABC） algorithm and weighted sum method according to the variation of load demand and system parameter.Thus,the PID controller gains for both areas are tuned simultaneously.Meanwhile,the best compromise conditions are achieved between overshoots and settling time of frequency response.Results of simulation show that the proposed method is simple,effective,and the system has good robustness under varying load demand and system parameters.

关 键 词：人工蜂群算法 加权和 多目标优化 负荷频率控制 PID控制器 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TM732[自动化与计算机技术—控制科学与工程]