AGC机组调配经济性的混沌遗传算法研究  

Research of chaos genetic algorithm on AGC units dispatchment

作　　者：李媛媛[1] 宋永华[1] 魏少岩[1] 

机构地区：[1]北京交通大学电气工程学院,北京100044

出　　处：《电力系统保护与控制》2008年第14期17-21,共5页Power System Protection and Control

摘　　要：AGC问题是互联电力系统经济有效运行的核心问题。以AGC机组的能耗费用最低为目标函数,提出了一种新的优化调配方法——混沌遗传算法。在遗传进化的过程中,引入混沌变量,维持群体中染色体的多样性,以克服遗传算法中的早熟问题,改善全局收敛性,提高计算速度。通过对某地区几个电厂的机组进行仿真计算,将结果与遗传算法得到的结果进行比较,表明混沌遗传算法应用于AGC机组的优化调度是合理可行的。AGC has became the core issues of economical and effective operation of the interconnected power system. The objective function in this paper is the lowest energy cost of AGC units. A novel method of allotment optimization is presented in this paper^chaos genetic algorithm. A new operator called chaos variables is introduced to the evolution process of GA to keep the diversity of chromosome. The algorithm solves the problem of prematurity in GA, ensures global convergence and improves the speed of computation and convergence. A simulation is pedbrmed on some units in several power plants. Compared with the results of GA, it shows the chaos genetic algorithm is reasonable and feasible.

关 键 词：混沌优化 AGC机组 优化调度 混沌遗传算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]