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基于遗传模拟退火算法的水库优化调度
Single Reservoir Optimal Operation Based on Genetic Algorithms and Simulated Annealing
【摘要】 采用遗传模拟退火算法研究了水电站单一水库的优化调度问题.根据水库优化调度的数学模型,提出了基于遗传模拟退火算法的优化调度的基本步骤.通过实例计算并与简单遗传算法相比较,表明该算法具有极强的局部搜索能力和较好的收敛性能
【Abstract】 Based on the hybrid of genetic algorithms and simulated annealing (SA),optimal operation of simple hydropower station reservoir is studied.According to the mathematic model of the reservoir optimal operation,basic steps based on SA are put forward.By calculation of the example and comparison with simple genetic algorithms,it proves this hybrid algorithm has much stronger ability of local search and better function of convergence.
【关键词】 水库;
优化调度;
遗传算法;
模拟退火;
【Key words】 reservoir; optimal operation; genetic algorithms; simulated annealing;
【Key words】 reservoir; optimal operation; genetic algorithms; simulated annealing;
【基金】 国家自然科学基金资助项目(60374056);浙江省重点科技计划项目(2003C21005).
- 【文献出处】 华北水利水电学院学报 ,Journal of North China Institute of Water Conservancy and Hydroelectric Power , 编辑部邮箱 ,2004年03期
- 【分类号】TV697.11
- 【被引频次】26
- 【下载频次】383