基于变基增量动态规划梯级水电站短期优化调度研究

Research on Short-term Optimal Scheduling of Cascade Hydropower Stations Based on Mutative Increment Dynamic Programming

为提高梯级水电站整体效益,以松江河梯级水电站为例,建立了耗水量最小和耗水能量最小梯级水电站短期优化调度数学模型,应用变基增量动态规划法,以总耗水量最小和总耗水能量最小为最优化准则计算分析了两个计划日的梯级水电站短期优化调度。结果表明,耗水能量最小数学模型作为梯级水电站短期优化调度的最优化准则更为准确;变基增量动态规划法求解时间短、精度高。

In order to improve the overall benefit gramming is applied to solve short-term optimal sched of cascade hydropower stations, mutative increment dynamic prouling of cascade hydropower stations by taking Songjianghe cascade hydropower stations for an example. Two mathematical models are established by taking minimum water consumption and minimum water energy consumption as optimal goals. And then mutative increment dynamic programming is adopted to solve the problem of two-days scheduling of cascade hydropower stations. The results show that minimum water energy consumption model is more exact and the mutative increment dynamic programming has a satisfactory effect both in reducing solution time and increasing solution accuracy.