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Electricity tariff structure optimization

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dc.contributor.authorSaad N.M.en_US
dc.contributor.authorAbdullah Z.en_US
dc.contributor.authorid56070007300en_US
dc.contributor.authorid57215664703en_US
dc.date.accessioned2023-05-29T07:22:43Z
dc.date.available2023-05-29T07:22:43Z
dc.date.issued2019
dc.descriptionLinear programming; Optimization; Sales; Structural optimization; Electricity customers; Electricity tariff; ILOG; Malaysia; Optimization methodology; Optimization procedures; Stochastic; Stochastic optimizations; Shape optimizationen_US
dc.description.abstractThe design of electricity tariff can be very complex not only due to the regulatory policies factors but also the concern of satisfying various parties such as the utility firms and their respective customers. This paper addresses the optimized electricity tariff structure based on the 2014 electricity tariff structure in Peninsular of Malaysia by considering the customer and demand growth factors in next year forecast. Two optimization procedures are proposed namely, hybrid of goal programming and stochastic optimization and ILOG optimization system. In both estimation models, scenario-based influenced the current and forecast sale which mainly reflected by the tariff setting for each of the electricity customers including domestic, industrial, commercial, specific agriculture, mining as well as street lighting. In overall, firstly, both optimization methodology approaches reveal the similar result with respect to the lifeline bands of tariff especially by ILOG produce on average value for each of the customer category that useful for further analysis. Secondly, the small changes in demand growth and customer growth across the scenarios insignificantly change in the tariff structure among electricity customer except for domestic. � 2018 American Society for Microbiology. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage5829
dc.identifier.issue11-Dec
dc.identifier.scopus2-s2.0-85081632171
dc.identifier.spage5823
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85081632171&partnerID=40&md5=4fd1ae8a0ce34722cff8ccef0ba5d60c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24311
dc.identifier.volume81
dc.publisherMattingley Publishingen_US
dc.sourceScopus
dc.sourcetitleTest Engineering and Management
dc.titleElectricity tariff structure optimizationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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