TSCOA算法在梯1级水电站日优化调度中的应用  

Table Search -Chaotic Optimization Algorithms＇ Application to Short-term Optimal Operation of Cascade Hydropower Station

作　　者：张秋菊[1] 

机构地区：[1]四川大学锦城学院,四川成都610065

出　　处：《中国科技博览》2014年第28期390-391,共2页China Science and Technology Review

摘　　要：本文将混沌优化算法与禁忌搜索法相结合，提出一种既可全局寻优又具有“记忆”能力的优化算法——TSCOA，并将这种算法引用到梯级水电站日优化调度问题中。该方法原理简单，易编程实现，能以较快速度收敛到全局最优解，从而为分时电价环境下水电站日优化调度问题提供一种新的解决途径。Through the combination chaos optimization algorithm with Tabu Search, we proposed a new global optimization algorithm with a ＂memory＂ capacity TSCOA. And the optimization algorithm was applied to Cascade Hydropower Station short-term optimization operation Problem. The method is simple, easy programming, can converge quickly to the global optimal solution. So, it provide a new solution to optimal operation of hydropower station based on time-sharing price condition.

关 键 词：TSCOA 日优化调度 水电站 

分 类 号：TM73[电气工程—电力系统及自动化]