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Optimal cost benefit of the EToU electricity tariff for a manufacturing operation by using optimization algorithm

Since the electricity market are getting more attention due to the electricity demand, there are many options of tariff can be chosen thus making it harder for consumers to make decisions. The consumers must be searching for affordable tariff rate that able to give the benefit in reducing the total...

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Main Authors: Sulaima, Mohamad Fani, Alias, Nur Umirah, Wan Abdul Razak, Intan Azmira, Sardi, Junainah, Bohari, Zul Hasrizal
Format: Article
Language:English
Published: Asian Research Publishing Network 2021
Online Access:http://eprints.utem.edu.my/id/eprint/25807/2/4.%20PUBLISHED%20ARPN-JEAS_0821_8656-2021.PDF
http://eprints.utem.edu.my/id/eprint/25807/
http://www.arpnjournals.org/jeas/research_papers/rp_2021/jeas_0821_8656.pdf
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spelling my.utem.eprints.258072023-07-21T15:27:10Z http://eprints.utem.edu.my/id/eprint/25807/ Optimal cost benefit of the EToU electricity tariff for a manufacturing operation by using optimization algorithm Sulaima, Mohamad Fani Alias, Nur Umirah Wan Abdul Razak, Intan Azmira Sardi, Junainah Bohari, Zul Hasrizal Since the electricity market are getting more attention due to the electricity demand, there are many options of tariff can be chosen thus making it harder for consumers to make decisions. The consumers must be searching for affordable tariff rate that able to give the benefit in reducing the total electricity cost. In regard to the issue, Tenaga Nasional Berhad (TNB) has introduced a more advanced tariff under Demand Side Management (DSM) programs namely Enhance Time of Use (EToU) tariff as an advanced version of the Time of Use (ToU) tariff for generation and demand side benefits. However, the number of participants has joined the program is under expectation due to less awareness and knowledge on the demand side management strategy. Thus, in this study, Simultaneous Demand Side Management (DSM) strategies are proposed for energy consumption cost reduction for a manufacturing energy load profile. Optimization algorithm namely Ant Colony Optimization (ACO) is implemented and cases with and without implementation of algorithm are compared in order to idealize the load profile of DSM strategy. The proposed method had shown reduction in electricity cost at all time zones of EToU tariff. The final result of this study is hopefully will contribute to help the industrial consumers in managing their tariff selection and to make demand side management program more acknowledgeable to the consumers. Asian Research Publishing Network 2021-08 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25807/2/4.%20PUBLISHED%20ARPN-JEAS_0821_8656-2021.PDF Sulaima, Mohamad Fani and Alias, Nur Umirah and Wan Abdul Razak, Intan Azmira and Sardi, Junainah and Bohari, Zul Hasrizal (2021) Optimal cost benefit of the EToU electricity tariff for a manufacturing operation by using optimization algorithm. ARPN Journal of Engineering and Applied Sciences, 16 (15). pp. 1610-1615. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2021/jeas_0821_8656.pdf
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 Since the electricity market are getting more attention due to the electricity demand, there are many options of tariff can be chosen thus making it harder for consumers to make decisions. The consumers must be searching for affordable tariff rate that able to give the benefit in reducing the total electricity cost. In regard to the issue, Tenaga Nasional Berhad (TNB) has introduced a more advanced tariff under Demand Side Management (DSM) programs namely Enhance Time of Use (EToU) tariff as an advanced version of the Time of Use (ToU) tariff for generation and demand side benefits. However, the number of participants has joined the program is under expectation due to less awareness and knowledge on the demand side management strategy. Thus, in this study, Simultaneous Demand Side Management (DSM) strategies are proposed for energy consumption cost reduction for a manufacturing energy load profile. Optimization algorithm namely Ant Colony Optimization (ACO) is implemented and cases with and without implementation of algorithm are compared in order to idealize the load profile of DSM strategy. The proposed method had shown reduction in electricity cost at all time zones of EToU tariff. The final result of this study is hopefully will contribute to help the industrial consumers in managing their tariff selection and to make demand side management program more acknowledgeable to the consumers.
format Article
author Sulaima, Mohamad Fani
Alias, Nur Umirah
Wan Abdul Razak, Intan Azmira
Sardi, Junainah
Bohari, Zul Hasrizal
spellingShingle Sulaima, Mohamad Fani
Alias, Nur Umirah
Wan Abdul Razak, Intan Azmira
Sardi, Junainah
Bohari, Zul Hasrizal
Optimal cost benefit of the EToU electricity tariff for a manufacturing operation by using optimization algorithm
author_facet Sulaima, Mohamad Fani
Alias, Nur Umirah
Wan Abdul Razak, Intan Azmira
Sardi, Junainah
Bohari, Zul Hasrizal
author_sort Sulaima, Mohamad Fani
title Optimal cost benefit of the EToU electricity tariff for a manufacturing operation by using optimization algorithm
title_short Optimal cost benefit of the EToU electricity tariff for a manufacturing operation by using optimization algorithm
title_full Optimal cost benefit of the EToU electricity tariff for a manufacturing operation by using optimization algorithm
title_fullStr Optimal cost benefit of the EToU electricity tariff for a manufacturing operation by using optimization algorithm
title_full_unstemmed Optimal cost benefit of the EToU electricity tariff for a manufacturing operation by using optimization algorithm
title_sort optimal cost benefit of the etou electricity tariff for a manufacturing operation by using optimization algorithm
publisher Asian Research Publishing Network
publishDate 2021
url http://eprints.utem.edu.my/id/eprint/25807/2/4.%20PUBLISHED%20ARPN-JEAS_0821_8656-2021.PDF
http://eprints.utem.edu.my/id/eprint/25807/
http://www.arpnjournals.org/jeas/research_papers/rp_2021/jeas_0821_8656.pdf
_version_ 1772816023679926272
score 13.211869

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