Optimal Scheduling of Reservoir Based on Long-term and Medium Long-term Nested Model

SUN Gui-kai; SHI Rui; LIU Si-yi; WANG Guo-shuai; ZHAO Rong-na; MO Chong-xun

doi:10.11988/ckyyb.20210289

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Journal of Changjiang River Scientific Research Institute ›› 2022, Vol. 39 ›› Issue (8) : 23-28. DOI: 10.11988/ckyyb.20210289

WATER RESOURCES

Optimal Scheduling of Reservoir Based on Long-term and Medium Long-term Nested Model

SUN Gui-kai^1,2,3, SHI Rui^1,2,3, LIU Si-yi^1,2,3, WANG Guo-shuai^1,2,3, ZHAO Rong-na^1,2,3, MO Chong-xun^1,2,3

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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

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SUN Gui-kai, SHI Rui, LIU Si-yi, WANG Guo-shuai, ZHAO Rong-na, MO Chong-xun. Optimal Scheduling of Reservoir Based on Long-term and Medium Long-term Nested Model[J]. Journal of Changjiang River Scientific Research Institute. 2022, 39(8): 23-28 https://doi.org/10.11988/ckyyb.20210289

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