ETOU electricity tariff for manufacturing load shifting strategy using ACO algorithm
This paper presents load shifting strategy for cost reduction on manufacturing electricity demand side, by which a real test load profile had been used to prove the concept. Superior bio-inspired algorithm, Ant Colony Optimization (ACO) had been implemented to optimize the upright load profile of l...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Institute of Advanced Engineering and Science
2019
|
| Online Access: | http://eprints.utem.edu.my/id/eprint/28849/2/2019-ETOU%20electricity%20tariff%20for%20manufacturing%20load%20shifting%20strategy%20using%20ACO%20algorithm.pdf http://eprints.utem.edu.my/id/eprint/28849/ https://beei.org/index.php/EEI/article/view/1438 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839753399550083072 |
|---|---|
| author | Sulaima, Mohamad Fani Dahlan, Nofri Yenita Md Isa, Mohamed Hafiz Othman, Md Nazri Mat Yasin, Zuhaila Kasdirin, Hyreil Anuar |
| author_facet | Sulaima, Mohamad Fani Dahlan, Nofri Yenita Md Isa, Mohamed Hafiz Othman, Md Nazri Mat Yasin, Zuhaila Kasdirin, Hyreil Anuar |
| author_sort | Sulaima, Mohamad Fani |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents load shifting strategy for cost reduction on manufacturing electricity demand side, by which a real test load profile had been used to prove the concept. Superior bio-inspired algorithm, Ant Colony Optimization (ACO) had been implemented to optimize the upright load
profile of load shifting strategy in the Malaysia Enhance Time of Use (ETOU) tariff condition. Subsequently, significant simulation results of operation profit gain through 24 hours electricity consumption had been analyzed properly. The proposed method had shown reduction of approximately 6% of the electricity cost at peak and mid peak zones, when
20%, 40%, 60%, 80% and 100% load shifting weightages were applied to the identified 10% controlled loads consequently. It is hoped that the finding of this study can help poise the manufacturers to switch to ETOU tariff as well as support the national Demand Side Management (DSM) program. |
| format | Article |
| id | my.utem.eprints-28849 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2019 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | eprints |
| spelling | my.utem.eprints-288492025-08-06T04:45:31Z http://eprints.utem.edu.my/id/eprint/28849/ ETOU electricity tariff for manufacturing load shifting strategy using ACO algorithm Sulaima, Mohamad Fani Dahlan, Nofri Yenita Md Isa, Mohamed Hafiz Othman, Md Nazri Mat Yasin, Zuhaila Kasdirin, Hyreil Anuar This paper presents load shifting strategy for cost reduction on manufacturing electricity demand side, by which a real test load profile had been used to prove the concept. Superior bio-inspired algorithm, Ant Colony Optimization (ACO) had been implemented to optimize the upright load profile of load shifting strategy in the Malaysia Enhance Time of Use (ETOU) tariff condition. Subsequently, significant simulation results of operation profit gain through 24 hours electricity consumption had been analyzed properly. The proposed method had shown reduction of approximately 6% of the electricity cost at peak and mid peak zones, when 20%, 40%, 60%, 80% and 100% load shifting weightages were applied to the identified 10% controlled loads consequently. It is hoped that the finding of this study can help poise the manufacturers to switch to ETOU tariff as well as support the national Demand Side Management (DSM) program. Institute of Advanced Engineering and Science 2019-03 Article PeerReviewed text en cc_by_sa_4 http://eprints.utem.edu.my/id/eprint/28849/2/2019-ETOU%20electricity%20tariff%20for%20manufacturing%20load%20shifting%20strategy%20using%20ACO%20algorithm.pdf Sulaima, Mohamad Fani and Dahlan, Nofri Yenita and Md Isa, Mohamed Hafiz and Othman, Md Nazri and Mat Yasin, Zuhaila and Kasdirin, Hyreil Anuar (2019) ETOU electricity tariff for manufacturing load shifting strategy using ACO algorithm. Bulletin of Electrical Engineering and Informatics, 8 (1). pp. 21-29. ISSN 2089-3191 https://beei.org/index.php/EEI/article/view/1438 10.11591/eei.v8i1.1438 |
| spellingShingle | Sulaima, Mohamad Fani Dahlan, Nofri Yenita Md Isa, Mohamed Hafiz Othman, Md Nazri Mat Yasin, Zuhaila Kasdirin, Hyreil Anuar ETOU electricity tariff for manufacturing load shifting strategy using ACO algorithm |
| title | ETOU electricity tariff for manufacturing load shifting strategy
using ACO algorithm |
| title_full | ETOU electricity tariff for manufacturing load shifting strategy
using ACO algorithm |
| title_fullStr | ETOU electricity tariff for manufacturing load shifting strategy
using ACO algorithm |
| title_full_unstemmed | ETOU electricity tariff for manufacturing load shifting strategy
using ACO algorithm |
| title_short | ETOU electricity tariff for manufacturing load shifting strategy
using ACO algorithm |
| title_sort | etou electricity tariff for manufacturing load shifting strategy
using aco algorithm |
| url | http://eprints.utem.edu.my/id/eprint/28849/2/2019-ETOU%20electricity%20tariff%20for%20manufacturing%20load%20shifting%20strategy%20using%20ACO%20algorithm.pdf http://eprints.utem.edu.my/id/eprint/28849/ https://beei.org/index.php/EEI/article/view/1438 |
| url_provider | http://eprints.utem.edu.my/ |