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Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction

Carbon dioxide; Controllers; Cost effectiveness; Cost reduction; Emission control; Energy management systems; Energy resources; Learning algorithms; Operating costs; Power management; Cost saving; Distributed Energy Resources; Emission reduction; Energy; Management systems; Micro grid; Optimization...

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Main Authors: Roslan M.F., Hannan M.A., Jern Ker P., Begum R.A., Indra Mahlia T.M., Dong Z.Y.
Other Authors: 57220188085
Format: Article
Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-261462023-05-29T17:07:10Z Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction Roslan M.F. Hannan M.A. Jern Ker P. Begum R.A. Indra Mahlia T.M. Dong Z.Y. 57220188085 7103014445 57222032755 14007780000 56997615100 57221211074 Carbon dioxide; Controllers; Cost effectiveness; Cost reduction; Emission control; Energy management systems; Energy resources; Learning algorithms; Operating costs; Power management; Cost saving; Distributed Energy Resources; Emission reduction; Energy; Management systems; Micro grid; Optimization algorithms; Optimized controllers; Scheduling controllers; Uncertainty; Scheduling; algorithm; carbon dioxide; energy resource; lightning; optimization; smart grid; Malaysia; Perlis; West Malaysia This study deals with the development of an optimal power scheduling controller for energy management of distributed energy resources in the microgrid system. The developed optimized controller is implemented using lightning search algorithm to overcome the uncertainties of microgrid energy management and to provide an optimum power delivery to loads with minimum cost. The primary objectives of the proposed optimized controller are to: (i) develop an optimized controller for microgrids energy management, (ii) minimize the total operating cost of the distributed energy resources units, (iii) reduce the environmental emission, and (iv) solve the complicated constraint optimization problems. The proposed optimization algorithm is implemented in the modified IEEE 14-bus test system to optimize the microgrid power management schedule. The optimized controller is executed based on the real load varying conditions recorded in Perlis, Malaysia. It is observed that the optimized controller successfully reduced the amount of power consumption from 971.65 MW to 364.3 MW which in turn saving cost of RM 265432.06. The proposed scheduling optimized controller performance is compared with the recent reported work of backtracking search algorithm optimization for validation. Result shows that the lightning search algorithm based MG controller produced a cost-effective system with 62.5% of cost saving and 61.98% of carbon dioxide emission reduction which is much higher compared to with MG and backtracking search algorithm based MG optimization, respectively. The effectiveness of the proposed approach outperformed other techniques in terms of minimum total operating cost of distributed energy resources and solving complicated constraints in optimization problems. � 2021 Elsevier Ltd Final 2023-05-29T09:07:10Z 2023-05-29T09:07:10Z 2021 Article 10.1016/j.apenergy.2021.116883 2-s2.0-85103981904 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103981904&doi=10.1016%2fj.apenergy.2021.116883&partnerID=40&md5=d8e16e7f5e2365ab374b31758556d375 https://irepository.uniten.edu.my/handle/123456789/26146 292 116883 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Carbon dioxide; Controllers; Cost effectiveness; Cost reduction; Emission control; Energy management systems; Energy resources; Learning algorithms; Operating costs; Power management; Cost saving; Distributed Energy Resources; Emission reduction; Energy; Management systems; Micro grid; Optimization algorithms; Optimized controllers; Scheduling controllers; Uncertainty; Scheduling; algorithm; carbon dioxide; energy resource; lightning; optimization; smart grid; Malaysia; Perlis; West Malaysia
author2 57220188085
author_facet 57220188085
Roslan M.F.
Hannan M.A.
Jern Ker P.
Begum R.A.
Indra Mahlia T.M.
Dong Z.Y.
format Article
author Roslan M.F.
Hannan M.A.
Jern Ker P.
Begum R.A.
Indra Mahlia T.M.
Dong Z.Y.
spellingShingle Roslan M.F.
Hannan M.A.
Jern Ker P.
Begum R.A.
Indra Mahlia T.M.
Dong Z.Y.
Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction
author_sort Roslan M.F.
title Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction
title_short Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction
title_full Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction
title_fullStr Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction
title_full_unstemmed Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction
title_sort scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction
publisher Elsevier Ltd
publishDate 2023
_version_ 1806423228180070400
score 13.188404

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