摘要
针对清江高坝洲水电站下游水位流量关系受长江顶托影响和梯级水库间流量传播处理问题,建立三峡梯级和清江梯级水电站短期联合优化调度模型。根据实测资料构建受长江顶托的高坝洲水电站下游水位流量分段函数关系;采用相关分析法对梯级间实测数据进行率定,构建线性回归方程处理梯级间流量传播的计算。运用正弦轮盘赌选择算子的自适应遗传算法求解模型,克服单纯轮盘赌对适应度非负的要求。不同量级典型日流量过程模拟调度结果表明:三峡梯级和清江梯级联合调度效益增加明显。研究成果对未来三峡梯级与清江梯级水库群日发电计划的编制有借鉴意义。
A short-term optimal joint operation model is proposed for the Three Gorges-Qingjiang cascade hydropower system, with consideration of the influence of the Yangtze water level on the downstream dischargestage relationship of Gaobazhou hydropower station, and the flow propagation inside the cascade reservoir system. In this model, pieeewise functions are constructed to represent the influenced discharge-stage relationship according to the flow measurements, and the flow propagation is calculated using an equation of linear regression that is formulated by using correlation analysis of the measured data. To meet the deed of non-negative fitness, improved AGA with sine-roulette wheel selection operator is applied in the simulation. The calculations of optimal operation for several representative hydrographs show that joint optimal operation can produce a greater benefit in power generation. These results provide a reference for daily generation scheduling of the Three Gorges-Qingjiang cascade hydropower system.
出处
《水力发电学报》
EI
CSCD
北大核心
2012年第4期12-15,5,共5页
Journal of Hydroelectric Engineering
基金
国家科技支撑计划课题三(2009BAC56B03)
国家重点基础研究规划973项目(2012CB417006)
关键词
水电工程
短期联合优化调度
改进遗传算法
三峡梯级
清江梯级
hydropower engineering
short-term optimal joint operation
improved genetic algorithm
Three Gorges cascade
Qingjiang cascade
作者简介
杨侃（1965-），男，教授．E—mail：kyang@hhu．edu．cn
