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Optimizing economic load dispatch with renewable energy sources via differential Evolution Immunized Ant Colony Optimization technique

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dc.citedby11
dc.contributor.authorRahmat N.A.en_US
dc.contributor.authorAziz N.F.A.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorid55647163881en_US
dc.contributor.authorid57221906825en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid8620004100en_US
dc.date.accessioned2023-05-29T06:39:56Z
dc.date.available2023-05-29T06:39:56Z
dc.date.issued2017
dc.description.abstractRecently, renewable energy (RE) has become a trend in power generation. It is slowly evolving from an alternative energy source into the main energy source. The technology is currently working as an auxiliary to the existing generators. Demands for electricity is expanding rapidly nowadays, which require generators to run near its operation limit. This activity put grieve risk to the generators. Nonetheless, the extensive analysis should be conducted upon RE integration into the existing power system. This paper assesses its economic impact on the power system. Setting up RE technology such as photovoltaic and wind turbine are costly, yet may reduce generator's fuel cost in the long run. Thus, economic load dispatch (ELD) is conducted to compute the operating cost of power system with the integration of RE system. In this study, the operating cost represents the fuel cost of conventional fossil-fuel generators. Furthermore, a novel optimization technique namely Differential Evolution Immunized Ant Colony Optimization is proposed as the optimization engine. Comparative studies are conducted to assess the performance of the proposed approach.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.18517/ijaseit.7.6.2328
dc.identifier.epage2017
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85040572604
dc.identifier.spage2012
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85040572604&doi=10.18517%2fijaseit.7.6.2328&partnerID=40&md5=fdf367104cab7751f37b9e966369e11b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23380
dc.identifier.volume7
dc.publisherInsight Societyen_US
dc.relation.ispartofAll Open Access, Hybrid Gold
dc.sourceScopus
dc.sourcetitleInternational Journal on Advanced Science, Engineering and Information Technology
dc.titleOptimizing economic load dispatch with renewable energy sources via differential Evolution Immunized Ant Colony Optimization techniqueen_US
dc.typeArticleen_US
dspace.entity.typePublication
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