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

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dc.citedby44
dc.contributor.authorTayebiyan A.en_US
dc.contributor.authorMohammed Ali T.A.en_US
dc.contributor.authorGhazali A.H.en_US
dc.contributor.authorMalek M.A.en_US
dc.contributor.authorid57046047100en_US
dc.contributor.authorid57053565500en_US
dc.contributor.authorid57211811043en_US
dc.contributor.authorid55636320055en_US
dc.date.accessioned2023-05-29T06:12:42Z
dc.date.available2023-05-29T06:12:42Z
dc.date.issued2016
dc.descriptionAlgorithms; 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 Malaysiaen_US
dc.description.abstractThe 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s11269-015-1221-6
dc.identifier.epage1216
dc.identifier.issue3
dc.identifier.scopus2-s2.0-84957427043
dc.identifier.spage1203
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84957427043&doi=10.1007%2fs11269-015-1221-6&partnerID=40&md5=113fb3e89d346fb79553ec8049a50865
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22849
dc.identifier.volume30
dc.publisherSpringer Netherlandsen_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleWater Resources Management
dc.titleOptimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
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