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Modelling base electricity tariff under the Malaysia incentive-based regulation framework using system dynamics.

In the context of a single buyer (SB) electricity market, this study provides an electricity tariff model developed using system dynamics (SD). Using data from the Malaysian electricity supply industry (MESI), the model was developed with the intent of evaluating the influence of load variation on M...

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Main Authors: Ahmad Dahlan, Norlee Husnafeza, Yenita, Nofri, Bazin, Nor Erne Nazira, Yusof, Yusrina, Markom, Arni Munira
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science (IAES) 2023
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/105601/1/NorleeHusnafezaAhmad2023_ModellingBaseElectricityTariffUndertheMalaysia.pdf
http://eprints.utm.my/105601/
http://dx.doi.org/10.11591/ijece.v13i2.pp1231-1240
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spelling my.utm.1056012024-05-05T06:46:19Z http://eprints.utm.my/105601/ Modelling base electricity tariff under the Malaysia incentive-based regulation framework using system dynamics. Ahmad Dahlan, Norlee Husnafeza Yenita, Nofri Bazin, Nor Erne Nazira Yusof, Yusrina Markom, Arni Munira TK Electrical engineering. Electronics Nuclear engineering In the context of a single buyer (SB) electricity market, this study provides an electricity tariff model developed using system dynamics (SD). Using data from the Malaysian electricity supply industry (MESI), the model was developed with the intent of evaluating the influence of load variation on Malaysia's base electricity tariff. Given that Malaysia's electricity demand has increased significantly over the past few years in unison with the country's economic growth and modernization, this model is developed to investigate the relationship between the two. Moreover, the lack of a comprehensive MESI upstream market model that can monitor this issue was the impetus for this research. This study employed an SD approach, as it is a well-known technique for simulating complex systems and analyzing the existing dynamism between each variable and each system. This model can be a valuable tool for developing an electrical tariff model. Findings revealed that the base electricity pricing on the MESI upstream market is affected by load growth variation during the 30-year time. Since new power sources are needed to meet demand, the tariff becomes more expensive as the load increases. This model may benefit the utility or generating company plan for future generation. Institute of Advanced Engineering and Science (IAES) 2023-04 Article PeerReviewed application/pdf en http://eprints.utm.my/105601/1/NorleeHusnafezaAhmad2023_ModellingBaseElectricityTariffUndertheMalaysia.pdf Ahmad Dahlan, Norlee Husnafeza and Yenita, Nofri and Bazin, Nor Erne Nazira and Yusof, Yusrina and Markom, Arni Munira (2023) Modelling base electricity tariff under the Malaysia incentive-based regulation framework using system dynamics. International Journal of Electrical and Computer Engineering, 13 (2). pp. 1231-1240. ISSN 2088-8708 http://dx.doi.org/10.11591/ijece.v13i2.pp1231-1240 DOI: 10.11591/ijece.v13i2.pp1231-1240
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ahmad Dahlan, Norlee Husnafeza
Yenita, Nofri
Bazin, Nor Erne Nazira
Yusof, Yusrina
Markom, Arni Munira
Modelling base electricity tariff under the Malaysia incentive-based regulation framework using system dynamics.
description In the context of a single buyer (SB) electricity market, this study provides an electricity tariff model developed using system dynamics (SD). Using data from the Malaysian electricity supply industry (MESI), the model was developed with the intent of evaluating the influence of load variation on Malaysia's base electricity tariff. Given that Malaysia's electricity demand has increased significantly over the past few years in unison with the country's economic growth and modernization, this model is developed to investigate the relationship between the two. Moreover, the lack of a comprehensive MESI upstream market model that can monitor this issue was the impetus for this research. This study employed an SD approach, as it is a well-known technique for simulating complex systems and analyzing the existing dynamism between each variable and each system. This model can be a valuable tool for developing an electrical tariff model. Findings revealed that the base electricity pricing on the MESI upstream market is affected by load growth variation during the 30-year time. Since new power sources are needed to meet demand, the tariff becomes more expensive as the load increases. This model may benefit the utility or generating company plan for future generation.
format Article
author Ahmad Dahlan, Norlee Husnafeza
Yenita, Nofri
Bazin, Nor Erne Nazira
Yusof, Yusrina
Markom, Arni Munira
author_facet Ahmad Dahlan, Norlee Husnafeza
Yenita, Nofri
Bazin, Nor Erne Nazira
Yusof, Yusrina
Markom, Arni Munira
author_sort Ahmad Dahlan, Norlee Husnafeza
title Modelling base electricity tariff under the Malaysia incentive-based regulation framework using system dynamics.
title_short Modelling base electricity tariff under the Malaysia incentive-based regulation framework using system dynamics.
title_full Modelling base electricity tariff under the Malaysia incentive-based regulation framework using system dynamics.
title_fullStr Modelling base electricity tariff under the Malaysia incentive-based regulation framework using system dynamics.
title_full_unstemmed Modelling base electricity tariff under the Malaysia incentive-based regulation framework using system dynamics.
title_sort modelling base electricity tariff under the malaysia incentive-based regulation framework using system dynamics.
publisher Institute of Advanced Engineering and Science (IAES)
publishDate 2023
url http://eprints.utm.my/105601/1/NorleeHusnafezaAhmad2023_ModellingBaseElectricityTariffUndertheMalaysia.pdf
http://eprints.utm.my/105601/
http://dx.doi.org/10.11591/ijece.v13i2.pp1231-1240
_version_ 1800082635697946624
score 13.211869

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