A novel Master-Slave optimization algorithm for generating an optimal release policy in case of reservoir operation

Basit Öğe Kaydı
dc.contributor.authorTurgut, Mert Sinan
dc.contributor.authorTurgut, Oguz Emrah
dc.contributor.authorAfan, Haitham Abdulmohsin
dc.contributor.authorEl-Shafie, Ahmed
dc.date.accessioned2020-12-01T12:09:16Z
dc.date.available2020-12-01T12:09:16Z
dc.date.issued2019
dc.departmentEge Üniversitesien_US
dc.descriptionAfan, Haitham Abdulmohsin/0000-0002-4957-756X; Turgut, Oguz Emrah/0000-0003-3556-8889; El-Shafie, Ahmed/0000-0001-5018-8505en_US
dc.description.abstractDams and reservoirs provide decision-makers and managers with appropriate control on the available water resources, allowing the implementation of various strategies for the most efficient usage of the available water resources. in areas where water supply exhibits significant temporal variation when compared with the demand, the challenge is to bridge the gap and achieve an optimal match between the water supply and demand patterns. Therefore, the release of water from reservoirs should be controlled to ensure that the operation rule for the available water storage in the reservoir is optimized to satisfy the future water demands. This level of optimal control can only be achieved using an efficient optimization algorithm to optimally derive the operation rule for such a complex water system. Herein, two main methods have been considered to tackle this water resource management problem. First, three different optimization algorithms, namely particle swarm optimization, differential evolution, and whale optimization algorithm, have been applied. in addition, two different optimization algorithms, namely crow search algorithm and master-slave algorithm, have been introduced to generate an optimal rule for water release policy. Further, the proposed optimization algorithms have been applied to one of the most critical dam and reservoir water systems, namely the Aswan High Dam (AHD), which controls almost 95% of Egypt's water resources. the current operation of AHD using the existing optimization rules resulted in a mismatch between the water supply and water demand. in other words, the water availability could be higher than the water demand during a certain period, whereas it could be less than the water demand during another period. the results denoted that the master-slave algorithm outperforms the remaining algorithms and generates an optimization rule that minimizes the mismatch between the water supply and water demand.en_US
dc.description.sponsorshipUniversity of Malaya Research Grant (UMRG) University of Malaya, Malaysia [RP025A-18SUS]en_US
dc.description.sponsorshipThis research was funded by the University of Malaya Research Grant (UMRG) coded RP025A-18SUS University of Malaya, Malaysia.en_US
dc.identifier.doi10.1016/j.jhydrol.2019.123959
dc.identifier.issn0022-1694
dc.identifier.issn1879-2707
dc.identifier.issn0022-1694en_US
dc.identifier.issn1879-2707en_US
dc.identifier.urihttps://doi.org/10.1016/j.jhydrol.2019.123959
dc.identifier.urihttps://hdl.handle.net/11454/63387
dc.identifier.volume577en_US
dc.identifier.wosWOS:000488304300043en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Hydrologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDam and reservoir operationen_US
dc.subjectOptimization algorithmen_US
dc.subjectAswan High Damen_US
dc.subjectCrow search algorithmen_US
dc.subjectMaster-slave algorithmen_US
dc.titleA novel Master-Slave optimization algorithm for generating an optimal release policy in case of reservoir operationen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu