节能发电调度下梯级水电站短期优化调度研究  

Research on Short-term Optimal Operation of Cascade Hydropower Stations under Energy-saving Generation

作　　者：陈尧[1] 马光文[1] 杨道辉[1,2] 黄炜斌[1] 李佳[1] 

机构地区：[1]四川大学水电学院,四川成都610065 [2]二滩水电开发有限责任公司,四川成都610021

出　　处：《水力发电》2009年第10期85-87,95,共4页Water Power

基　　金：国家科技支撑计划项目(2008BAB29B09);国家自然科学基金重点资助项目(50539140);国家自然科学基金资助项目(50679098);美国能源基金会"中国可持续能源"项目(G-0610-08581)

摘　　要：随着我国节能发电调度政策的逐步实施,梯级水电站在新的调度方式下如何优化运行已成为当前重要的研究课题。以总蓄能耗用最小为目标,研究了梯级水电站节能运行的短期优化调度模型,采用退火遗传算法进行求解,并对火溪河梯级水电站进行了实例计算。结果表明,该短期优化调度模型能够提高梯级水电站水能利用率,适应节能发电调度的要求。As the implement of energy-saving generation policy, the operation problem of cascade hydropower stations under new dispatching mode has become an essential subject. This paper studies the short-tern1 optimal operation model of cascade hydropower stations under energy-saving generation, which is proposed to gain the minimum total energy consumption of the cascade system. Using annealing genetic algorithms, this model has been proved to be efficient by the example of Huoxi River cascade hydropower stations.

关 键 词：节能发电调度 短期优化调度 退火遗传算法 梯级水电站 

分 类 号：TV737[水利工程—水利水电工程]