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Article

Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm

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Department of Electrical & Electronic Engineering, Bangladesh University of Engineering & Technology (BUET), Dhaka 1000, Bangladesh
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Department of Electrical & Electronic Engineering, National Institute of Textile Engineering and Research (NITER), Dhaka 1350, Bangladesh
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Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia
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K. A. CARE Energy Research & Innovation Center (ERIC), King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia
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School of Engineering & Information Technology, The University of New South Wales, Canberra 2612, Australia
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Department of Electrical & Electronic Engineering, Dhaka University of Engineering and Technology (DUET), Gazipur 1700, Bangladesh
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Electrical Engineering Department, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia
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Author to whom correspondence should be addressed.
Academic Editors: Alessandro Massi Pavan and Anastasios Dounis
Energies 2021, 14(4), 1060; https://doi.org/10.3390/en14041060
Received: 26 December 2020 / Revised: 4 February 2021 / Accepted: 7 February 2021 / Published: 18 February 2021
(This article belongs to the Special Issue Renewable Energy and Energy Storage Systems)
From a residential point of view, home energy management (HEM) is an essential requirement in order to diminish peak demand and utility tariffs. The integration of renewable energy sources (RESs) together with battery energy storage systems (BESSs) and central battery storage system (CBSS) may promote energy and cost minimization. However, proper home appliance scheduling along with energy storage options is essential to significantly decrease the energy consumption profile and overall expenditure in real-time operation. This paper proposes a cost-effective HEM scheme in the microgrid framework to promote curtailing of energy usage and relevant utility tariff considering both energy storage and renewable sources integration. Usually, the household appliances have different runtime preferences and duration of operation based on user demand. This work considers a simulator designed in the C++ platform to address the domestic customer’s HEM issue based on usages priorities. The positive aspects of merging RESs, BESSs, and CBSSs with the proposed optimal power sharing algorithm (OPSA) are evaluated by considering three distinct case scenarios. Comprehensive analysis of each scenario considering the real-time scheduling of home appliances is conducted to substantiate the efficacy of the outlined energy and cost mitigation schemes. The results obtained demonstrate the effectiveness of the proposed algorithm to enable energy and cost savings up to 37.5% and 45% in comparison to the prevailing methodology. View Full-Text
Keywords: home energy management (HEM); optimal power sharing algorithm (OPSA); microgrids; renewable energy sources (RESs); battery energy storage system (BESS) home energy management (HEM); optimal power sharing algorithm (OPSA); microgrids; renewable energy sources (RESs); battery energy storage system (BESS)
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MDPI and ACS Style

Rashid, M.M.U.; Alotaibi, M.A.; Chowdhury, A.H.; Rahman, M.; Alam, M.S.; Hossain, M.A.; Abido, M.A. Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm. Energies 2021, 14, 1060. https://doi.org/10.3390/en14041060

AMA Style

Rashid MMU, Alotaibi MA, Chowdhury AH, Rahman M, Alam MS, Hossain MA, Abido MA. Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm. Energies. 2021; 14(4):1060. https://doi.org/10.3390/en14041060

Chicago/Turabian Style

Rashid, Md M.U., Majed A. Alotaibi, Abdul H. Chowdhury, Muaz Rahman, Md. S. Alam, Md. A. Hossain, and Mohammad A. Abido. 2021. "Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm" Energies 14, no. 4: 1060. https://doi.org/10.3390/en14041060

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