关键词: 水库优化调度, 嵌套模型, 动态规划算法, 遗传算法, 水库综合效益, 澄碧河水库

Abstract: The comprehensive benefit of reservoir is not high due to different time scales in the process of optimal scheduling.In view of this,a nested model of multi-objective optimal scheduling of reservoir is built with both flood control and operational benefit as objectives by nesting the long-term and medium-to-long-term optimal scheduling of reservoir.The multi-objective problem is transformed into a single objective problem of solving the maximum power generation after the flood control objective is transformed into a hard constraint by the constraint method.In terms of algorithm,the long-term optimal scheduling is solved by dynamic programming algorithm,and the medium-to-long-term optimal scheduling is solved by genetic algorithm.The optimization effect of the nested model is verified with Chengbihe reservoir as a case study.The results demonstrate that under the premise of meeting the flood control objectives,the nested model scheme is more effective than the long-term scheme and the actual operation scheme,which verifies the superiority of the nested model.

Key words: optimal scheduling of reservoir, nested model, dynamic programming algorithm, genetic algorithm, comprehensive benefits of reservoir, Chengbihe reservoir