Influence of the demand side management on the daily performance of microgrids in smart environments using grey wolf optimizer

Purpose: This study aims to investigate the daily performance of the proposed microgrid (MG) that comprises photovoltaic, wind turbines and is connected to the main grid. The load demand is a residential area that includes 20 houses. Design/methodology/approach: The daily operational strategy of the...

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Main Authors: Jouma H., Mansor M., Abd Rahman M.S., Jia Ying Y., Mokhlis H.
Other Authors: 58994543000
Format: Article
Published: Emerald Publishing 2025
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spelling my.uniten.dspace-370842025-03-03T15:47:19Z Influence of the demand side management on the daily performance of microgrids in smart environments using grey wolf optimizer Jouma H. Mansor M. Abd Rahman M.S. Jia Ying Y. Mokhlis H. 58994543000 6701749037 36609854400 56119339200 8136874200 Electric utilities Energy Gray wolves Microgrid Optimizers Performance Photovoltaics Procured energy Sell energy Systems performance Demand side management Purpose: This study aims to investigate the daily performance of the proposed microgrid (MG) that comprises photovoltaic, wind turbines and is connected to the main grid. The load demand is a residential area that includes 20 houses. Design/methodology/approach: The daily operational strategy of the proposed MG allows to vend and procure utterly between the main grid and MG. The smart metre of every consumer provides the supplier with the daily consumption pattern which is amended by demand side management (DSM). The daily operational cost (DOC) CO2 emission and other measures are utilized to evaluate the system performance. A grey wolf optimizer was employed to minimize DOC including the cost of procuring energy from the main grid, the emission cost and the revenue of sold energy to the main grid. Findings: The obtained results of winter and summer days revealed that DSM significantly improved the system performance from the economic and environmental perspectives. With DSM, DOC on winter day was ?26.93 ($/kWh) and on summer day, DOC was 10.59 ($/kWh). While without considering DSM, DOC on winter day was ?25.42 ($/kWh) and on summer day DOC was 14.95 ($/kWh). Originality/value: As opposed to previous research that predominantly addressed the long-term operation, the value of the proposed research is to investigate the short-term operation (24-hour) of MG that copes with vital contingencies associated with selling and procuring energy with the main grid considering the environmental cost. Outstandingly, the proposed research engaged the consumers by smart meters to apply demand-sideDSM, while the previous studies largely focused on supply side management. ? 2024, Emerald Publishing Limited. Article in press 2025-03-03T07:47:19Z 2025-03-03T07:47:19Z 2024 Article 10.1108/SASBE-01-2024-0008 2-s2.0-85190857783 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190857783&doi=10.1108%2fSASBE-01-2024-0008&partnerID=40&md5=2779bc7e0f5dd16ce33fda9b76a91642 https://irepository.uniten.edu.my/handle/123456789/37084 Emerald Publishing 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/
topic Electric utilities
Energy
Gray wolves
Microgrid
Optimizers
Performance
Photovoltaics
Procured energy
Sell energy
Systems performance
Demand side management
spellingShingle Electric utilities
Energy
Gray wolves
Microgrid
Optimizers
Performance
Photovoltaics
Procured energy
Sell energy
Systems performance
Demand side management
Jouma H.
Mansor M.
Abd Rahman M.S.
Jia Ying Y.
Mokhlis H.
Influence of the demand side management on the daily performance of microgrids in smart environments using grey wolf optimizer
description Purpose: This study aims to investigate the daily performance of the proposed microgrid (MG) that comprises photovoltaic, wind turbines and is connected to the main grid. The load demand is a residential area that includes 20 houses. Design/methodology/approach: The daily operational strategy of the proposed MG allows to vend and procure utterly between the main grid and MG. The smart metre of every consumer provides the supplier with the daily consumption pattern which is amended by demand side management (DSM). The daily operational cost (DOC) CO2 emission and other measures are utilized to evaluate the system performance. A grey wolf optimizer was employed to minimize DOC including the cost of procuring energy from the main grid, the emission cost and the revenue of sold energy to the main grid. Findings: The obtained results of winter and summer days revealed that DSM significantly improved the system performance from the economic and environmental perspectives. With DSM, DOC on winter day was ?26.93 ($/kWh) and on summer day, DOC was 10.59 ($/kWh). While without considering DSM, DOC on winter day was ?25.42 ($/kWh) and on summer day DOC was 14.95 ($/kWh). Originality/value: As opposed to previous research that predominantly addressed the long-term operation, the value of the proposed research is to investigate the short-term operation (24-hour) of MG that copes with vital contingencies associated with selling and procuring energy with the main grid considering the environmental cost. Outstandingly, the proposed research engaged the consumers by smart meters to apply demand-sideDSM, while the previous studies largely focused on supply side management. ? 2024, Emerald Publishing Limited.
author2 58994543000
author_facet 58994543000
Jouma H.
Mansor M.
Abd Rahman M.S.
Jia Ying Y.
Mokhlis H.
format Article
author Jouma H.
Mansor M.
Abd Rahman M.S.
Jia Ying Y.
Mokhlis H.
author_sort Jouma H.
title Influence of the demand side management on the daily performance of microgrids in smart environments using grey wolf optimizer
title_short Influence of the demand side management on the daily performance of microgrids in smart environments using grey wolf optimizer
title_full Influence of the demand side management on the daily performance of microgrids in smart environments using grey wolf optimizer
title_fullStr Influence of the demand side management on the daily performance of microgrids in smart environments using grey wolf optimizer
title_full_unstemmed Influence of the demand side management on the daily performance of microgrids in smart environments using grey wolf optimizer
title_sort influence of the demand side management on the daily performance of microgrids in smart environments using grey wolf optimizer
publisher Emerald Publishing
publishDate 2025
_version_ 1825816041857482752
score 13.244109