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Article

Development of Cluster-Based Energy Management Scheme for Residential Usages in the Smart Grid Community

1
Department of Information Engineering and Computer Science, University of Trento, 38122 Trento, Italy
2
Department of Electrical and Electronic Engineering, National Institute of Textile Engineering and Research (NITER), Dhaka 1350, Bangladesh
3
Capability Systems Centre, School of Engineering & Information Technology, University of New South Wales-Canberra, Campbell, ACT 2612, Australia
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Department of Electrical and Electronic Engineering, Dhaka University of Engineering and Technology (DUET), Gazipur 1707, Bangladesh
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K.A.CARE Energy Research & Innovation Center, King Fahd University of Petroleum & Minerals(KFUPM), Dhahran 31261, Saudi Arabia
6
School of Engineering, Information Technology and Physical Sciences, Federation University, Ballarat 3350, Australia
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(9), 1462; https://doi.org/10.3390/electronics9091462
Received: 29 July 2020 / Revised: 30 August 2020 / Accepted: 1 September 2020 / Published: 7 September 2020
(This article belongs to the Special Issue Applications of IoT for Microgrids)
Several efforts have been taken to promote clean energy towards a sustainable and green economy. Existing sources of electricity present some complications concerning consumers, utility owners, and the environment. Utility operators encourage household applicants to employ residential energy management (REM) systems. Renewable energy sources (RESs), energy storage systems (ESS), and optimal energy allocation strategies are used to resolve these difficulties. In this paper, the development of a cluster-based energy management scheme for residential consumers of a smart grid community is proposed to reduce energy use and monetary cost. Normally, residential consumers deal with household appliances with various operating time slots depending on consumer preferences. A simulator is designed and developed using C++ software to resolve the residential consumer’s REM problem. The benefits of the RESs, ESS, and optimal energy allocation techniques are analyzed by taking in account three different scenarios. Extensive case studies are carried out to validate the effectiveness of the proposed cluster-based energy management scheme. It is demonstrated that the proposed method can save energy and costs up to 45% and 56% compared to the existing methods. View Full-Text
Keywords: demand-side management (DSM); energy storage systems (ESS); residential energy management (REM); renewable energy sources (RESs); smart grid; smart meter; self-satisfied power demand demand-side management (DSM); energy storage systems (ESS); residential energy management (REM); renewable energy sources (RESs); smart grid; smart meter; self-satisfied power demand
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MDPI and ACS Style

Rashid, M.M.U.; Granelli, F.; Hossain, M.A.; Alam, M.S.; Al-Ismail, F.S.; Shah, R. Development of Cluster-Based Energy Management Scheme for Residential Usages in the Smart Grid Community. Electronics 2020, 9, 1462. https://doi.org/10.3390/electronics9091462

AMA Style

Rashid MMU, Granelli F, Hossain MA, Alam MS, Al-Ismail FS, Shah R. Development of Cluster-Based Energy Management Scheme for Residential Usages in the Smart Grid Community. Electronics. 2020; 9(9):1462. https://doi.org/10.3390/electronics9091462

Chicago/Turabian Style

Rashid, Md M.U., Fabrizio Granelli, Md. A. Hossain, Md. S. Alam, Fahad S. Al-Ismail, and Rakibuzzaman Shah. 2020. "Development of Cluster-Based Energy Management Scheme for Residential Usages in the Smart Grid Community" Electronics 9, no. 9: 1462. https://doi.org/10.3390/electronics9091462

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