基于可行空间搜索遗传算法的梯级水库群调度规则研究

以梯级水库群系统多年平均发电量和旬出力保证率最大为目标函数,以梯级水库群内各水库拐点式调度图为决策变量,建立梯级水库群联合发电调度模型,并采用可行空间搜索遗传算法进行求解。为了避免模型求解过程中对不可行解的过多处理,有针对性地对可行解进行优化。最后,以汉江流域梯级水库群为例,对模型和算法的有效性进行了验证。

Joint Operation Policy for Cascade Reservoirs using Genetic Algorithms Searching in Feasible Region

In this study, an optimization model of hydropower generation was built for joint operation of cascade reservoirs with the objective function to maximize the annual average amount of hydropower generation and guarantee ratio of ten-day hydropower generation and with the operation chart of each reservoir as the decision variable. The model was solved using the generic algorithms searching in feasible region, which can avoid extra efforts on the infeasible solution search and improve the optimization effectively. The model was applied to the cascade reservoirs in the Hanjiang River Basin to verify the efficiency of the model and algorithm.