基于并行组合模拟退火算法的水电站优化调度研究  

Study on the optimal operation of hydropower station based on parallel recombination simulated annealing algorithms

作　　者：张双虎[1] 黄强[1] 孙廷容[1,2] 

机构地区：[1]西安理工大学水电学院 [2]山西省水利厅,太原030002

出　　处：《水力发电学报》2004年第4期16-19,15,共5页Journal of Hydroelectric Engineering

基　　金：国家"973"重点基础研究发展规划项目 (G1 9990 4 36)

摘　　要：并行组合模拟退火算法是将模拟退火算法和遗传算法相结合的一种新型优化算法。将该算法用于水电站优化调度 ,与经典算法相比其特点在于 ,该算法可从多个点开始寻优 ,占用计算机内存少 ,能以较快的速度找到全局最优解 ;编程简单、适应性强 。Parallel Recombination Simulated Annealing Algorithms(PRSAA) is a new style of optimal algorithm combined simulated annealing algorithm(SAA) with GA. Compared with the traditional optimal algorithms, this method adopts a population of points at a time, and finds the global optimum quickly when it is used in optimal operation of hydropower station. The PRSAA is a effective optimal algorithm with less computer memory and strong adaptability.

关 键 词：优化调度 近似最优解 并行组合模拟退火算法 水电站 

分 类 号：TV731[水利工程—水利水电工程]