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

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 managem...

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Main Authors: Md Mamun Ur Rashid, Fabrizio Granelli, Md. Alamgir Hossain, Md. Shafiul Alam, Fahad Saleh Al-Ismail, Rakibuzzaman Shah
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/9/1462
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spelling doaj-2b0cad72cd1e4381ac2de269f57f78ef2020-11-25T03:43:32ZengMDPI AGElectronics2079-92922020-09-0191462146210.3390/electronics9091462Development of Cluster-Based Energy Management Scheme for Residential Usages in the Smart Grid CommunityMd Mamun Ur Rashid0Fabrizio Granelli1Md. Alamgir Hossain2Md. Shafiul Alam3Fahad Saleh Al-Ismail4Rakibuzzaman Shah5Department of Information Engineering and Computer Science, University of Trento, 38122 Trento, ItalyDepartment of Information Engineering and Computer Science, University of Trento, 38122 Trento, ItalyCapability Systems Centre, School of Engineering & Information Technology, University of New South Wales-Canberra, Campbell, ACT 2612, AustraliaK.A.CARE Energy Research & Innovation Center, King Fahd University of Petroleum & Minerals(KFUPM), Dhahran 31261, Saudi ArabiaK.A.CARE Energy Research & Innovation Center, King Fahd University of Petroleum & Minerals(KFUPM), Dhahran 31261, Saudi ArabiaSchool of Engineering, Information Technology and Physical Sciences, Federation University, Ballarat 3350, AustraliaSeveral 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.https://www.mdpi.com/2079-9292/9/9/1462demand-side management (DSM)energy storage systems (ESS)residential energy management (REM)renewable energy sources (RESs)smart gridsmart meter
collection DOAJ
language English
format Article
sources DOAJ
author Md Mamun Ur Rashid
Fabrizio Granelli
Md. Alamgir Hossain
Md. Shafiul Alam
Fahad Saleh Al-Ismail
Rakibuzzaman Shah
spellingShingle Md Mamun Ur Rashid
Fabrizio Granelli
Md. Alamgir Hossain
Md. Shafiul Alam
Fahad Saleh Al-Ismail
Rakibuzzaman Shah
Development of Cluster-Based Energy Management Scheme for Residential Usages in the Smart Grid Community
Electronics
demand-side management (DSM)
energy storage systems (ESS)
residential energy management (REM)
renewable energy sources (RESs)
smart grid
smart meter
author_facet Md Mamun Ur Rashid
Fabrizio Granelli
Md. Alamgir Hossain
Md. Shafiul Alam
Fahad Saleh Al-Ismail
Rakibuzzaman Shah
author_sort Md Mamun Ur Rashid
title Development of Cluster-Based Energy Management Scheme for Residential Usages in the Smart Grid Community
title_short Development of Cluster-Based Energy Management Scheme for Residential Usages in the Smart Grid Community
title_full Development of Cluster-Based Energy Management Scheme for Residential Usages in the Smart Grid Community
title_fullStr Development of Cluster-Based Energy Management Scheme for Residential Usages in the Smart Grid Community
title_full_unstemmed Development of Cluster-Based Energy Management Scheme for Residential Usages in the Smart Grid Community
title_sort development of cluster-based energy management scheme for residential usages in the smart grid community
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2020-09-01
description 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.
topic demand-side management (DSM)
energy storage systems (ESS)
residential energy management (REM)
renewable energy sources (RESs)
smart grid
smart meter
url https://www.mdpi.com/2079-9292/9/9/1462
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