Spatiotemporally Combined Dimensionality Reduction Algorithm for Optimizing Long-term Operation of Multi-reservoir Systems

To alleviate the “curse of dimensionality” and improve the solution efficiency while ensuring the quality of solutions in optimizing the operation of multi-reservoir systems,this paper proposes a spatiotemporally combined dimensionality reduction algorithm which integrates and improves the dynamic p...

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Main Authors: CHEN Jia, ZHANG Hanjun, XU Nan
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2023-01-01
Series:Renmin Zhujiang
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Online Access:http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.08.008
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author CHEN Jia
ZHANG Hanjun
XU Nan
author_facet CHEN Jia
ZHANG Hanjun
XU Nan
author_sort CHEN Jia
collection DOAJ
description To alleviate the “curse of dimensionality” and improve the solution efficiency while ensuring the quality of solutions in optimizing the operation of multi-reservoir systems,this paper proposes a spatiotemporally combined dimensionality reduction algorithm which integrates and improves the dynamic programming with successive approximation (DPSA) and the progressive optimality algorithm (POA).First,a chain-based successive approximation strategy is proposed to expand the DPSA's optimization mode from “single reservoir alternation” to “cascade reservoir chain alternation”,which makes up for the DPSA's shortcomings in dealing with the hydraulic coupling relationships among cascade reservoirs.Then,a dynamic variable decoupling strategy and perturbation mechanism are proposed to deal with the POA's blind search problem and dimensionality problem.Finally,the two improved algorithms are combined,in which the improved POA is applied to solving the optimization problems of cascade reservoir chains under the framework of the improved DPSA.The power generation operation problem of the cascade reservoirs in the Yuan River Basin of Hunan Province and the classical ten-reservoir problem are utilized to test the performance of the proposed algorithm.The proposed algorithm outperforms seven existing alternatives in terms of solution quality and efficiency.The results indicate that the proposed algorithm can effectively alleviate the “curse of dimensionality” in optimizing the operation of multi-reservoir systems,improve the efficiency while ensuring the quality of solutions and has potential to be applied to optimizing the operation of complex large-scale multi-reservoir systems.
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spelling doaj-art-4ca7649ef2554bce85ed42b2ec2132de2025-01-15T02:21:59ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352023-01-014447637509Spatiotemporally Combined Dimensionality Reduction Algorithm for Optimizing Long-term Operation of Multi-reservoir SystemsCHEN JiaZHANG HanjunXU NanTo alleviate the “curse of dimensionality” and improve the solution efficiency while ensuring the quality of solutions in optimizing the operation of multi-reservoir systems,this paper proposes a spatiotemporally combined dimensionality reduction algorithm which integrates and improves the dynamic programming with successive approximation (DPSA) and the progressive optimality algorithm (POA).First,a chain-based successive approximation strategy is proposed to expand the DPSA's optimization mode from “single reservoir alternation” to “cascade reservoir chain alternation”,which makes up for the DPSA's shortcomings in dealing with the hydraulic coupling relationships among cascade reservoirs.Then,a dynamic variable decoupling strategy and perturbation mechanism are proposed to deal with the POA's blind search problem and dimensionality problem.Finally,the two improved algorithms are combined,in which the improved POA is applied to solving the optimization problems of cascade reservoir chains under the framework of the improved DPSA.The power generation operation problem of the cascade reservoirs in the Yuan River Basin of Hunan Province and the classical ten-reservoir problem are utilized to test the performance of the proposed algorithm.The proposed algorithm outperforms seven existing alternatives in terms of solution quality and efficiency.The results indicate that the proposed algorithm can effectively alleviate the “curse of dimensionality” in optimizing the operation of multi-reservoir systems,improve the efficiency while ensuring the quality of solutions and has potential to be applied to optimizing the operation of complex large-scale multi-reservoir systems.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.08.008reservoir operationdimensionality reductionsuccessive approximationvariable decouplingcascade reservoir chaindipole optimizationperturbation mechanism
spellingShingle CHEN Jia
ZHANG Hanjun
XU Nan
Spatiotemporally Combined Dimensionality Reduction Algorithm for Optimizing Long-term Operation of Multi-reservoir Systems
Renmin Zhujiang
reservoir operation
dimensionality reduction
successive approximation
variable decoupling
cascade reservoir chain
dipole optimization
perturbation mechanism
title Spatiotemporally Combined Dimensionality Reduction Algorithm for Optimizing Long-term Operation of Multi-reservoir Systems
title_full Spatiotemporally Combined Dimensionality Reduction Algorithm for Optimizing Long-term Operation of Multi-reservoir Systems
title_fullStr Spatiotemporally Combined Dimensionality Reduction Algorithm for Optimizing Long-term Operation of Multi-reservoir Systems
title_full_unstemmed Spatiotemporally Combined Dimensionality Reduction Algorithm for Optimizing Long-term Operation of Multi-reservoir Systems
title_short Spatiotemporally Combined Dimensionality Reduction Algorithm for Optimizing Long-term Operation of Multi-reservoir Systems
title_sort spatiotemporally combined dimensionality reduction algorithm for optimizing long term operation of multi reservoir systems
topic reservoir operation
dimensionality reduction
successive approximation
variable decoupling
cascade reservoir chain
dipole optimization
perturbation mechanism
url http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.08.008
work_keys_str_mv AT chenjia spatiotemporallycombineddimensionalityreductionalgorithmforoptimizinglongtermoperationofmultireservoirsystems
AT zhanghanjun spatiotemporallycombineddimensionalityreductionalgorithmforoptimizinglongtermoperationofmultireservoirsystems
AT xunan spatiotemporallycombineddimensionalityreductionalgorithmforoptimizinglongtermoperationofmultireservoirsystems