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Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones

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dc.citedby6
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorOthman M.M.en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid35944613200en_US
dc.date.accessioned2023-05-29T06:38:21Z
dc.date.available2023-05-29T06:38:21Z
dc.date.issued2017
dc.descriptionComputer programming; Electric power system planning; Electric power systems; Evolutionary algorithms; Immune system; Problem solving; Scheduling; Artificial Immune System; Economic Dispatch; Economic dispatch problems; Electrical power system; Log-normal; Optimization techniques; Prohibited operating zone; Reliability test system; Electric load dispatchingen_US
dc.description.abstractEconomic dispatch is an important issue in electrical power system planning and operation. Its aim is to dispatch electricity to the consumers at minimal economic cost, while satisfying system constraints. Prohibited operating zones is one of the constraints which requires attention. This paper presents an efficient optimization technique termed as Immune Log-Normal Evolutionary Programming (ILNEP) to solve economic dispatch problem with prohibited operating zones. The proposed ILNEP optimization technique to solve economic dispatch problem with prohibited operating zones has been tested on the IEEE 26-Bus Reliability Test System (RTS). The proposed method has been tested on three case studies with different load conditions, for validation of its effectiveness. The three case studies are lightly loaded, mediumly loaded and heavily loaded. Comparison of results among ILNEP, artificial immune system (AIS) and evolutionary programming (EP) have been made and it revealed that ILNEP outperformed AIS and EP in giving the lowest total production cost. � 2017 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7939199
dc.identifier.doi10.1109/IEA.2017.7939199
dc.identifier.epage167
dc.identifier.scopus2-s2.0-85021450702
dc.identifier.spage163
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85021450702&doi=10.1109%2fIEA.2017.7939199&partnerID=40&md5=aa48a900ccfb83a549fe772fa76a7163
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23197
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2017 4th International Conference on Industrial Engineering and Applications, ICIEA 2017
dc.titleImmune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zonesen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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