Publication:
Solving Unit Commitment Problem Using Multi-agent Evolutionary Programming Incorporating Priority List

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dc.citedby12
dc.contributor.authorOthman M.N.C.en_US
dc.contributor.authorRahman T.K.A.en_US
dc.contributor.authorMokhlis H.en_US
dc.contributor.authorAman M.M.en_US
dc.contributor.authorid57647356300en_US
dc.contributor.authorid8922419700en_US
dc.contributor.authorid8136874200en_US
dc.contributor.authorid55142313300en_US
dc.date.accessioned2023-05-29T05:59:42Z
dc.date.available2023-05-29T05:59:42Z
dc.date.issued2015
dc.description.abstractThis paper presents an approach to solve the unit commitment problem using a newly developed Multi-agent Evolutionary Programming incorporating Priority List optimisation technique (MAEP-PL). The objective of this study is to search for generation scheduling such that the total operating cost can be minimised when subjected to a variety of constraints, while at the same time reducing its computational time. The proposed technique assimilates the concepts of Priority Listing (PL), Multi-agent System (MAS) and Evolutionary Programming (EP) as its basis. In the proposed technique, deterministic PL technique is applied to produce a population of initial solutions. The search process is refined using heuristic EP-based algorithm with multi-agent approach to produce the final solution. The developed technique is tested on ten generating units test system for a 24-h scheduling period, and the results are compared with the standard Evolutionary Programming (EP), Evolutionary Programming with Priority Listing (EP-PL) and Multi-agent Evolutionary Programming (MAEP) optimisation techniques. From the obtained results and the comparative studies, it was found that the proposed MAEP-PL optimisation technique is able to solve the unit commitment problem where the total daily generation cost is effectively minimised and the computation time is reduced as compared to other techniques. � 2015, King Fahd University of Petroleum & Minerals.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s13369-015-1780-0
dc.identifier.epage3261
dc.identifier.issue11
dc.identifier.scopus2-s2.0-84944704050
dc.identifier.spage3247
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84944704050&doi=10.1007%2fs13369-015-1780-0&partnerID=40&md5=195d79e09636e320e761662826b4aa86
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22225
dc.identifier.volume40
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleArabian Journal for Science and Engineering
dc.titleSolving Unit Commitment Problem Using Multi-agent Evolutionary Programming Incorporating Priority Listen_US
dc.typeArticleen_US
dspace.entity.typePublication
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