基于最优保留的竞争自适应遗传算法的AGC机组调配  

The AGC Deployment Competition of Adaptive Genetic Algorithm of the Based on Optimal Retention

作　　者：马烨巍[1] 杨峰[1] 

机构地区：[1]华中科技大学水电与数字化工程学院,湖北武汉430074

出　　处：《华中电力》2007年第2期9-11,14,共4页Central China Electric Power

摘　　要：通过对电力市场下自动发电控制AGC(Automatic Generation Control)机组的调配问题的研究,提出了计及机组AGC调节容量变化的数学模型,对利用遗传算法求解这一非线性混合整数规划问题进行了探索,对遗传算法也作了相应的改进,加快了收敛速度,提高了全局搜索能力。对实际系统算例进行了仿真计算,并对遗传算法参数的选取与调整进行了讨论。From the research of the deployment of AGC unit in the electricity market ,this paper set forth the mathematical model with changes in the capacity of AGC unit, discusses the use of GA as the exploration of nonlinear mixed-integer programming problem,and also has been improved the traditional GA, speed up the convergence and improve its ability of overall search.This paper also discusses the selection and adjustment of the GA parameters in examples of simulation of practical systems.

关 键 词：电力市场 自动发电控制 遗传算法 

分 类 号：TM761[电气工程—电力系统及自动化]