为解决水库优化调度过程中时间尺度不同而导致的水库综合效益不高的问题,以防洪与兴利为目标,将水库长期优化调度与中长期优化调度进行嵌套,建立水库多目标优化调度嵌套模型。其中,多目标问题通过约束法将防洪目标转换为硬性约束后,再转化为求解发电量最大值的单目标问题。算法方面,综合对比后确定长期优化调度采用动态规划算法求解、中长期优化调度采用遗传算法求解。为验证嵌套模型的优化效果,以澄碧河水库为例,进行水库优化模拟调度。结果表明:在满足防洪目标的前提下,嵌套模型优化调度方案相较于长期优化调度方案和实际调度方案效益均更高,验证了嵌套模型在水库优化调度问题中的优越性。
孙桂凯
,
石锐
,
刘思怡
,
王国帅
,
赵荣娜
,
莫崇勋
. 基于长期与中长期嵌套的水库优化调度[J]. 长江科学院院报, 2022
, 39(8)
: 23
-28
.
DOI: 10.11988/ckyyb.20210289
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.
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