Electricity Tariff Structure 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 elec...
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my.uniten.dspace-153052020-09-07T09:10:35Z Electricity Tariff Structure Optimization N. Mohd Saad Z. Abdullah Electricity Tariff Optimization Stochastic Optimizations 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. 2020-09-07T09:10:34Z 2020-09-07T09:10:34Z 2020-01 Article http://dspace.uniten.edu.my/jspui/handle/123456789/15305 en |
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| language |
English |
| topic |
Electricity Tariff Optimization Stochastic Optimizations |
| spellingShingle |
Electricity Tariff Optimization Stochastic Optimizations N. Mohd Saad Z. Abdullah Electricity Tariff Structure Optimization |
| description |
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. |
| format |
Article |
| author |
N. Mohd Saad Z. Abdullah |
| author_facet |
N. Mohd Saad Z. Abdullah |
| author_sort |
N. Mohd Saad |
| 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 |
| publishDate |
2020 |
| url |
http://dspace.uniten.edu.my/jspui/handle/123456789/15305 |
| _version_ |
1680859859962036224 |
| score |
13.211869 |