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Multi-area economic dispatch by using differential evolution immunized ant colony optimization (DEIANT)

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dc.citedby1
dc.contributor.authorMarzuki N.H.en_US
dc.contributor.authorRahmat N.A.en_US
dc.contributor.authorMat Salleh J.en_US
dc.contributor.authorOtoh O.F.en_US
dc.contributor.authorid57224080423en_US
dc.contributor.authorid55647163881en_US
dc.contributor.authorid57211621399en_US
dc.contributor.authorid57211605959en_US
dc.date.accessioned2023-05-29T07:23:12Z
dc.date.available2023-05-29T07:23:12Z
dc.date.issued2019
dc.description.abstractEconomic dispatch is an important issue within the electrical system in meeting the lowest cost of the system and is subject to transmission and operating constraints.The power system operation and planning economic dispatch required a reliable technique to achieve minimal cost in economic dispatch otherwise the objective to minimize the generation cost fail. The electrical transmission network does not make complete electricity generation in Single-area economic dispatch. Thus, to complete the economic dispatch for the power transmission system, the multi-area network is proposed. The Multi-Area Economic Dispatch(MAED) connects two or more areas through a tie-line. Each region has a specific cost and load pattern. Tie-lines are used as connectors to enable power switching between regions. 31-Bus test system tested using an algorithm known as Differential Evolution Immunized Ant Colony Optimization (DEIANT) with different case studies with several trials taken to assess the consistency of results. Comparative studies with Pre-Optimization and Newton Rap son revealed that DEIANT technique is more reliable for multi-area power system network. � BEIESP.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.35940/ijeat.A2680.109119
dc.identifier.epage3530
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85074658668
dc.identifier.spage3525
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85074658668&doi=10.35940%2fijeat.A2680.109119&partnerID=40&md5=f40744dd4b134f38ab84ecb05165c3b7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24393
dc.identifier.volume9
dc.publisherBlue Eyes Intelligence Engineering and Sciences Publicationen_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleInternational Journal of Engineering and Advanced Technology
dc.titleMulti-area economic dispatch by using differential evolution immunized ant colony optimization (DEIANT)en_US
dc.typeArticleen_US
dspace.entity.typePublication
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