Research on water resources dispatch model based on improved genetic algorithm – water resources dispatch model

According to the research on reservoir water resources scheduling and distribution, the aim is to balance the water supply and demand in each period, and consider the total water supply and the annual external water withdrawal of the reservoir in each period as water rights. The decision-making vari...

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Autores principales: Haoran Fu, Huahui Li
Formato: article
Lenguaje:EN
Publicado: IWA Publishing 2021
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Acceso en línea:https://doaj.org/article/fd19dd300eb9441790540bdf671c7d49
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spelling oai:doaj.org-article:fd19dd300eb9441790540bdf671c7d492021-11-06T07:12:18ZResearch on water resources dispatch model based on improved genetic algorithm – water resources dispatch model1606-97491607-079810.2166/ws.2020.344https://doaj.org/article/fd19dd300eb9441790540bdf671c7d492021-05-01T00:00:00Zhttp://ws.iwaponline.com/content/21/3/1072https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798According to the research on reservoir water resources scheduling and distribution, the aim is to balance the water supply and demand in each period, and consider the total water supply and the annual external water withdrawal of the reservoir in each period as water rights. The decision-making variables are provided for the water supply of the reservoir in this paper, so that water demand of the water-receiving area can be better met to alleviate the water shortage at various stages and realize the effective use of water resources. Moreover, through the constraints of reservoir operation rules and other constraints, a mathematical model is established for optimal operation of water resources in the reservoir system. Meanwhile, optimized genetic algorithms are applied to solve the model according to the characteristics of the model. After simulation tests, compared with the traditional linear binary algorithm used in the reservoir, the improved genetic algorithm studied in the paper improves the accuracy of data calculation and data convergence, which proves that the research results of the paper provide theoretical and practical significance for improving the level of reservoir water resources management and solving the problem of optimal water resources scheduling. HIGHLIGHTS This paper realizes the supply decision variables.; The data index takes the historical data of the past as a reference to compare the algorithm.; The solution model of this algorithm makes use of the genetic effect of the improved genetic algorithm.; The constraint conditions are used as the rules of data allocation.; A multi-group genetic algorithm based on real coding is proposed.;Haoran FuHuahui LiIWA Publishingarticleimproved genetic algorithmreservoir indexwater resources dispatchwater resources modelWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 3, Pp 1072-1080 (2021)
institution DOAJ
collection DOAJ
language EN
topic improved genetic algorithm
reservoir index
water resources dispatch
water resources model
Water supply for domestic and industrial purposes
TD201-500
River, lake, and water-supply engineering (General)
TC401-506
spellingShingle improved genetic algorithm
reservoir index
water resources dispatch
water resources model
Water supply for domestic and industrial purposes
TD201-500
River, lake, and water-supply engineering (General)
TC401-506
Haoran Fu
Huahui Li
Research on water resources dispatch model based on improved genetic algorithm – water resources dispatch model
description According to the research on reservoir water resources scheduling and distribution, the aim is to balance the water supply and demand in each period, and consider the total water supply and the annual external water withdrawal of the reservoir in each period as water rights. The decision-making variables are provided for the water supply of the reservoir in this paper, so that water demand of the water-receiving area can be better met to alleviate the water shortage at various stages and realize the effective use of water resources. Moreover, through the constraints of reservoir operation rules and other constraints, a mathematical model is established for optimal operation of water resources in the reservoir system. Meanwhile, optimized genetic algorithms are applied to solve the model according to the characteristics of the model. After simulation tests, compared with the traditional linear binary algorithm used in the reservoir, the improved genetic algorithm studied in the paper improves the accuracy of data calculation and data convergence, which proves that the research results of the paper provide theoretical and practical significance for improving the level of reservoir water resources management and solving the problem of optimal water resources scheduling. HIGHLIGHTS This paper realizes the supply decision variables.; The data index takes the historical data of the past as a reference to compare the algorithm.; The solution model of this algorithm makes use of the genetic effect of the improved genetic algorithm.; The constraint conditions are used as the rules of data allocation.; A multi-group genetic algorithm based on real coding is proposed.;
format article
author Haoran Fu
Huahui Li
author_facet Haoran Fu
Huahui Li
author_sort Haoran Fu
title Research on water resources dispatch model based on improved genetic algorithm – water resources dispatch model
title_short Research on water resources dispatch model based on improved genetic algorithm – water resources dispatch model
title_full Research on water resources dispatch model based on improved genetic algorithm – water resources dispatch model
title_fullStr Research on water resources dispatch model based on improved genetic algorithm – water resources dispatch model
title_full_unstemmed Research on water resources dispatch model based on improved genetic algorithm – water resources dispatch model
title_sort research on water resources dispatch model based on improved genetic algorithm – water resources dispatch model
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/fd19dd300eb9441790540bdf671c7d49
work_keys_str_mv AT haoranfu researchonwaterresourcesdispatchmodelbasedonimprovedgeneticalgorithmwaterresourcesdispatchmodel
AT huahuili researchonwaterresourcesdispatchmodelbasedonimprovedgeneticalgorithmwaterresourcesdispatchmodel
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