Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm

Algorithms; Genetic algorithms; Hydroelectric power; Optimal systems; Optimization; Scheduling; Water management; Water resources; Hydroelectric generation; Hydropower; Operational constraints; Optimization techniques; Real coded genetic algorithm; Reservoir operation; Reservoir performance; Waterre...

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Main Authors: Tayebiyan A., Mohammed Ali T.A., Ghazali A.H., Malek M.A.
Other Authors: 57046047100
Format: Article
Published: Springer Netherlands 2023
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spelling my.uniten.dspace-228492023-05-29T14:12:42Z Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm Tayebiyan A. Mohammed Ali T.A. Ghazali A.H. Malek M.A. 57046047100 57053565500 57211811043 55636320055 Algorithms; Genetic algorithms; Hydroelectric power; Optimal systems; Optimization; Scheduling; Water management; Water resources; Hydroelectric generation; Hydropower; Operational constraints; Optimization techniques; Real coded genetic algorithm; Reservoir operation; Reservoir performance; Waterresource management; Reservoirs (water); genetic algorithm; hydroelectric power; hydroelectric power plant; optimization; policy approach; power generation; reservoir; water management; water resource; Cameron Highlands; Malaysia; Pahang; West Malaysia The efficient utilization of hydropower resources play an important role in the economic sector of power systems, where the hydroelectric plants constitute a significant portion of the installed capacity. Determination of daily optimal hydroelectric generation scheduling is a crucial task in water resource management. By utilizing the limited water resource, the purpose of hydroelectric generation scheduling is to specify the amount of water releases from a reservoir in order to produce maximum power, while the various physical and operational constraints are satisfied. Hence, new forms of release policies namely, BSOPHP, CSOPHP, and SHPHP are proposed and tested in this research. These policies could only use in hydropower reservoir systems. Meanwhile, to determine the optimal operation of each policy, real coded genetic algorithm is applied as an optimization technique and maximizing the total power generation over the operational periods is chosen as an objective function. The developed models have been applied to the Cameron Highland hydropower system, Malaysia. The results declared that by using optimal release policies, the output of power generation is increased, while these policies also increase the stability of reservoir system. In order to compare the efficiency of these policies, some reservoir performance indices such as reliability, resilience, vulnerability, and sustainability are used. The results demonstrated that SHPHP policy had the highest performance among the tested release policies. � 2016, Springer Science+Business Media Dordrecht. Final 2023-05-29T06:12:42Z 2023-05-29T06:12:42Z 2016 Article 10.1007/s11269-015-1221-6 2-s2.0-84957427043 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957427043&doi=10.1007%2fs11269-015-1221-6&partnerID=40&md5=113fb3e89d346fb79553ec8049a50865 https://irepository.uniten.edu.my/handle/123456789/22849 30 3 1203 1216 All Open Access, Green Springer Netherlands Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Algorithms; Genetic algorithms; Hydroelectric power; Optimal systems; Optimization; Scheduling; Water management; Water resources; Hydroelectric generation; Hydropower; Operational constraints; Optimization techniques; Real coded genetic algorithm; Reservoir operation; Reservoir performance; Waterresource management; Reservoirs (water); genetic algorithm; hydroelectric power; hydroelectric power plant; optimization; policy approach; power generation; reservoir; water management; water resource; Cameron Highlands; Malaysia; Pahang; West Malaysia
author2 57046047100
author_facet 57046047100
Tayebiyan A.
Mohammed Ali T.A.
Ghazali A.H.
Malek M.A.
format Article
author Tayebiyan A.
Mohammed Ali T.A.
Ghazali A.H.
Malek M.A.
spellingShingle Tayebiyan A.
Mohammed Ali T.A.
Ghazali A.H.
Malek M.A.
Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm
author_sort Tayebiyan A.
title Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm
title_short Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm
title_full Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm
title_fullStr Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm
title_full_unstemmed Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm
title_sort optimization of exclusive release policies for hydropower reservoir operation by using genetic algorithm
publisher Springer Netherlands
publishDate 2023
_version_ 1806424302650654720
score 13.214268