一种改进的梯级水电站多目标长期优化调度模型  

An Improved Multi-Objective Long-Term Optimal Operation Model for Cascade Hydropower Stations

作　　者：张伊 张明华[2] 卢振鹏 ZHANG Yi ZHANG Ming-hua LU Zhen-peng(College of Electrical Engeineering ＆ New Enerqy, China Three Gorges University, Yichang 443003 State Grid Hubei Huanglongtan Hydropower Plant, Shiyan 442005, China State Grid Shiyan Power Supply Company, Shiyan 442000, China)

机构地区：[1]三峡大学电气与新能源学院,湖北宜昌443003 [2]国网湖北黄龙滩水力发电厂,湖北十堰442005 [3]国网十堰供电公司,湖北十堰442000

出　　处：《通信电源技术》2017年第4期148-150,共3页Telecom Power Technology

摘　　要：根据梯级水电站水库来水特点和运行特点,提出一种在一年中从汛期和非汛期两个时间段分别建立不同的多目标长期优化调度模型,采用线性加权法和外点罚函数法将含约束条件多目标问题转化为无约束单目标问题,应用粒子群算法(PSO)进行求解。算例表明了该模型的正确性和求解方法的可行性,为梯级水电站优化调度提供了一种更全面、具体的模型。According to the characteristics and operation characteristics of cascade hydropower station reservoir water,different long-term optimal operation models at two periods of the flood and non-flood season in a year is put forward.By using the linear weighted method and penalty function method to the constrained multi-objective problem into single objective unconstrained problem,particle swarm optimization（PSO）is used to solve the problem.The example shows the correctness of the model and the feasibility of the method,which provides a more comprehensive and specific model for optimal operation of cascade hydropower stations.

关 键 词：梯级水电站 多目标 优化调度 粒子群算法 

分 类 号：TV737[水利工程—水利水电工程]