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Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm

In Malaysia, electricity generation has been rapidly increasing, in line with consumers’ electricity demand. For those reasons, the government has introduced Demand Side Management (DSM) as a programme to promote balanced energy use between energy generation and demand. However, such an energy manag...

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Main Authors: Dahlan, Nofri Yenita, Sulaima, Mohamad Fani, Wan Hanapi, Wan Noor Azzyati, Noor Din, Muhamad Muhtazam
Format: Article
Language:English
Published: Universiti Malaysia Terengganu 2022
Online Access:http://eprints.utem.edu.my/id/eprint/26585/2/18-JSSM-VOLUME-17-NUMBER-3-MARCH-2022.PDF
http://eprints.utem.edu.my/id/eprint/26585/
https://jssm.umt.edu.my/wp-content/uploads/sites/51/2022/05/Article-18-JSSM-Volume-17-Number-3-March-2022.pdf
http://doi.org/10.46754/jssm.2022.03.018
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spelling my.utem.eprints.265852023-05-25T14:25:49Z http://eprints.utem.edu.my/id/eprint/26585/ Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm Dahlan, Nofri Yenita Sulaima, Mohamad Fani Wan Hanapi, Wan Noor Azzyati Noor Din, Muhamad Muhtazam In Malaysia, electricity generation has been rapidly increasing, in line with consumers’ electricity demand. For those reasons, the government has introduced Demand Side Management (DSM) as a programme to promote balanced energy use between energy generation and demand. However, such an energy management policy is usually geared towards industrial and commercial consumers’ but rarely towards residential consumers. The significant incentive demand response programme under the DSM, such as Time of Use tariff (TOU), was not implemented for residential consumers due to many reasons. These include the insufficient TOU tariff designs for residential use and the lack of awareness among consumers on how to manage their load profiles so that they couldn’t enjoy concurrent reductions on their electricity bill. Thus, this study, aims to investigate what the best model of TOU time segmentation was for the residential consumers in Peninsular Malaysia. It also engaged in significant analysis to determine the optimal Load Profile Management (LPM) strategies for consumers that best reflected the residential TOU tariff. To determine the LPM this study made use of optimisation algorithms such as Ant Colony Optimisation (ACO); and an analysis comparing the performance of different load shift weightages that reduce the total cost of electricity are also considered and presented. A command average residential load profile has been tested as a real case study. The results of this study would help electricity providers to design a good TOU tariff policy and consumers would be able to benefit from the practice of LPM. Universiti Malaysia Terengganu 2022-03 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/26585/2/18-JSSM-VOLUME-17-NUMBER-3-MARCH-2022.PDF Dahlan, Nofri Yenita and Sulaima, Mohamad Fani and Wan Hanapi, Wan Noor Azzyati and Noor Din, Muhamad Muhtazam (2022) Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm. Journal of Sustainability Science and Management, 17 (3). pp. 232-242. ISSN 2672-7226 https://jssm.umt.edu.my/wp-content/uploads/sites/51/2022/05/Article-18-JSSM-Volume-17-Number-3-March-2022.pdf http://doi.org/10.46754/jssm.2022.03.018
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description In Malaysia, electricity generation has been rapidly increasing, in line with consumers’ electricity demand. For those reasons, the government has introduced Demand Side Management (DSM) as a programme to promote balanced energy use between energy generation and demand. However, such an energy management policy is usually geared towards industrial and commercial consumers’ but rarely towards residential consumers. The significant incentive demand response programme under the DSM, such as Time of Use tariff (TOU), was not implemented for residential consumers due to many reasons. These include the insufficient TOU tariff designs for residential use and the lack of awareness among consumers on how to manage their load profiles so that they couldn’t enjoy concurrent reductions on their electricity bill. Thus, this study, aims to investigate what the best model of TOU time segmentation was for the residential consumers in Peninsular Malaysia. It also engaged in significant analysis to determine the optimal Load Profile Management (LPM) strategies for consumers that best reflected the residential TOU tariff. To determine the LPM this study made use of optimisation algorithms such as Ant Colony Optimisation (ACO); and an analysis comparing the performance of different load shift weightages that reduce the total cost of electricity are also considered and presented. A command average residential load profile has been tested as a real case study. The results of this study would help electricity providers to design a good TOU tariff policy and consumers would be able to benefit from the practice of LPM.
format Article
author Dahlan, Nofri Yenita
Sulaima, Mohamad Fani
Wan Hanapi, Wan Noor Azzyati
Noor Din, Muhamad Muhtazam
spellingShingle Dahlan, Nofri Yenita
Sulaima, Mohamad Fani
Wan Hanapi, Wan Noor Azzyati
Noor Din, Muhamad Muhtazam
Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm
author_facet Dahlan, Nofri Yenita
Sulaima, Mohamad Fani
Wan Hanapi, Wan Noor Azzyati
Noor Din, Muhamad Muhtazam
author_sort Dahlan, Nofri Yenita
title Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm
title_short Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm
title_full Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm
title_fullStr Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm
title_full_unstemmed Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm
title_sort malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm
publisher Universiti Malaysia Terengganu
publishDate 2022
url http://eprints.utem.edu.my/id/eprint/26585/2/18-JSSM-VOLUME-17-NUMBER-3-MARCH-2022.PDF
http://eprints.utem.edu.my/id/eprint/26585/
https://jssm.umt.edu.my/wp-content/uploads/sites/51/2022/05/Article-18-JSSM-Volume-17-Number-3-March-2022.pdf
http://doi.org/10.46754/jssm.2022.03.018
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score 13.251813

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