Multi-objective optimal operation of reservoir group in Jialing River based on DREAM algorithm

With the implementation of the most stringent water resources management system and the advancement of the construction process of reservoir terrace basins, the research and application of the theory and method of joint operation of reservoir groups are becoming more and more important. The Differen...

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Autores principales:	Wei Diao, Peiyi Peng, Chunze Zhang, Shuqing Yang, Xujin Zhang
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	dream algorithm multi-objective optimal reservoir group of jialing river reservoir operation Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/38a617ea511c441ea4977082c0d3029b
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spelling	oai:doaj.org-article:38a617ea511c441ea4977082c0d3029b2021-11-06T07:19:41ZMulti-objective optimal operation of reservoir group in Jialing River based on DREAM algorithm1606-97491607-079810.2166/ws.2021.064https://doaj.org/article/38a617ea511c441ea4977082c0d3029b2021-08-01T00:00:00Zhttp://ws.iwaponline.com/content/21/5/2518https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798With the implementation of the most stringent water resources management system and the advancement of the construction process of reservoir terrace basins, the research and application of the theory and method of joint operation of reservoir groups are becoming more and more important. The Differential Evolution Adaptive Metropolis (DREAM) algorithm is a sampling algorithm based on the Markov Chain Monte Carlo method proposed in recent years. The algorithm satisfies ergodicity and is good at handling problems with multivariate nonlinearity, high dimensionality, and multi-peaks, and as such the algorithm is a new global optimization solution. This paper elaborated the solution mechanism of the standard DREAM algorithm, and the algorithm was applied to the optimal operation model of the reservoir group in Jialing River. First, we optimized and analyzed the multi-objective supply operation model of the reservoir group water in Jialing River. Then the multi-attribute decision-making and evaluation index system of water supply operation rules for the reservoir group to assess the optimization of the operation model was adopted. Finally based on the results of the evaluation, the best water supply operation scheme for the reservoir group of Jialing River was selected. The results show that the Baozhusi Reservoir can fully meet the planned water supply requirements in dry years, while the two reservoirs, Shengzhong and Tingzikou, need to be weighed against the evaluation indexes of water supply operation. The research provides a theoretical basis for the DREAM algorithm in the optimal operation of the reservoir group and the actual operation scheme for the reservoir group of Jialing River. HIGHLIGHTS The Differential Evolution Adaptive Metropolis algorithm based on the Markov Chain Monte Carlo method is firstly applied to reservoir group optimal operation, and satisfactory results are achieved in this paper.; This paper elaborates the solution mechanism and provides a theoretical basis for the DREAM algorithm in the optimal operation of the reservoir group and the actual operation scheme for the reservoir group.;Wei DiaoPeiyi PengChunze ZhangShuqing YangXujin ZhangIWA Publishingarticledream algorithmmulti-objective optimalreservoir group of jialing riverreservoir operationWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 5, Pp 2518-2531 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	dream algorithm multi-objective optimal reservoir group of jialing river reservoir operation Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	dream algorithm multi-objective optimal reservoir group of jialing river reservoir operation Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Wei Diao Peiyi Peng Chunze Zhang Shuqing Yang Xujin Zhang Multi-objective optimal operation of reservoir group in Jialing River based on DREAM algorithm
description	With the implementation of the most stringent water resources management system and the advancement of the construction process of reservoir terrace basins, the research and application of the theory and method of joint operation of reservoir groups are becoming more and more important. The Differential Evolution Adaptive Metropolis (DREAM) algorithm is a sampling algorithm based on the Markov Chain Monte Carlo method proposed in recent years. The algorithm satisfies ergodicity and is good at handling problems with multivariate nonlinearity, high dimensionality, and multi-peaks, and as such the algorithm is a new global optimization solution. This paper elaborated the solution mechanism of the standard DREAM algorithm, and the algorithm was applied to the optimal operation model of the reservoir group in Jialing River. First, we optimized and analyzed the multi-objective supply operation model of the reservoir group water in Jialing River. Then the multi-attribute decision-making and evaluation index system of water supply operation rules for the reservoir group to assess the optimization of the operation model was adopted. Finally based on the results of the evaluation, the best water supply operation scheme for the reservoir group of Jialing River was selected. The results show that the Baozhusi Reservoir can fully meet the planned water supply requirements in dry years, while the two reservoirs, Shengzhong and Tingzikou, need to be weighed against the evaluation indexes of water supply operation. The research provides a theoretical basis for the DREAM algorithm in the optimal operation of the reservoir group and the actual operation scheme for the reservoir group of Jialing River. HIGHLIGHTS The Differential Evolution Adaptive Metropolis algorithm based on the Markov Chain Monte Carlo method is firstly applied to reservoir group optimal operation, and satisfactory results are achieved in this paper.; This paper elaborates the solution mechanism and provides a theoretical basis for the DREAM algorithm in the optimal operation of the reservoir group and the actual operation scheme for the reservoir group.;
format	article
author	Wei Diao Peiyi Peng Chunze Zhang Shuqing Yang Xujin Zhang
author_facet	Wei Diao Peiyi Peng Chunze Zhang Shuqing Yang Xujin Zhang
author_sort	Wei Diao
title	Multi-objective optimal operation of reservoir group in Jialing River based on DREAM algorithm
title_short	Multi-objective optimal operation of reservoir group in Jialing River based on DREAM algorithm
title_full	Multi-objective optimal operation of reservoir group in Jialing River based on DREAM algorithm
title_fullStr	Multi-objective optimal operation of reservoir group in Jialing River based on DREAM algorithm
title_full_unstemmed	Multi-objective optimal operation of reservoir group in Jialing River based on DREAM algorithm
title_sort	multi-objective optimal operation of reservoir group in jialing river based on dream algorithm
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/38a617ea511c441ea4977082c0d3029b
work_keys_str_mv	AT weidiao multiobjectiveoptimaloperationofreservoirgroupinjialingriverbasedondreamalgorithm AT peiyipeng multiobjectiveoptimaloperationofreservoirgroupinjialingriverbasedondreamalgorithm AT chunzezhang multiobjectiveoptimaloperationofreservoirgroupinjialingriverbasedondreamalgorithm AT shuqingyang multiobjectiveoptimaloperationofreservoirgroupinjialingriverbasedondreamalgorithm AT xujinzhang multiobjectiveoptimaloperationofreservoirgroupinjialingriverbasedondreamalgorithm
_version_	1718443788122193920

Multi-objective optimal operation of reservoir group in Jialing River based on DREAM algorithm

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