Electricity tariff structure optimization
Linear programming; Optimization; Sales; Structural optimization; Electricity customers; Electricity tariff; ILOG; Malaysia; Optimization methodology; Optimization procedures; Stochastic; Stochastic optimizations; Shape optimization
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Mattingley Publishing
2023
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my.uniten.dspace-243112023-05-29T15:22:43Z Electricity tariff structure optimization Saad N.M. Abdullah Z. 56070007300 57215664703 Linear programming; Optimization; Sales; Structural optimization; Electricity customers; Electricity tariff; ILOG; Malaysia; Optimization methodology; Optimization procedures; Stochastic; Stochastic optimizations; Shape optimization The 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. Final 2023-05-29T07:22:43Z 2023-05-29T07:22:43Z 2019 Article 2-s2.0-85081632171 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081632171&partnerID=40&md5=4fd1ae8a0ce34722cff8ccef0ba5d60c https://irepository.uniten.edu.my/handle/123456789/24311 81 11-Dec 5823 5829 Mattingley Publishing Scopus |
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| description |
Linear programming; Optimization; Sales; Structural optimization; Electricity customers; Electricity tariff; ILOG; Malaysia; Optimization methodology; Optimization procedures; Stochastic; Stochastic optimizations; Shape optimization |
| author2 |
56070007300 |
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56070007300 Saad N.M. Abdullah Z. |
| format |
Article |
| author |
Saad N.M. Abdullah Z. |
| spellingShingle |
Saad N.M. Abdullah Z. Electricity tariff structure optimization |
| author_sort |
Saad N.M. |
| title |
Electricity tariff structure optimization |
| title_short |
Electricity tariff structure optimization |
| title_full |
Electricity tariff structure optimization |
| title_fullStr |
Electricity tariff structure optimization |
| title_full_unstemmed |
Electricity tariff structure optimization |
| title_sort |
electricity tariff structure optimization |
| publisher |
Mattingley Publishing |
| publishDate |
2023 |
| _version_ |
1806426073388285952 |
| score |
13.222552 |