Development of Home Energy Management Scheme for a Smart Grid Community

Md Mamun Ur Rashid, Fabrizio Granelli, Md. Alamgir Hossain, Md. Shafiul Alam, Fahad Saleh Al-Ismail, Ashish Kumar Karmaker and Md. Mijanur Rahaman
Additional contact information
Md Mamun Ur Rashid: Department of Information Engineering and Computer Science, University of Trento, 38122 Trento, Italy
Fabrizio Granelli: Department of Information Engineering and Computer Science, University of Trento, 38122 Trento, Italy
Md. Alamgir Hossain: Capability Systems Centre, School of Engineering & Information Technology, University of New South Wales, Canberra 2612, Australia
Md. Shafiul Alam: K. A. CARE Energy Research & Innovation Center, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
Fahad Saleh Al-Ismail: K. A. CARE Energy Research & Innovation Center, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
Ashish Kumar Karmaker: Department of Electrical and Electronic Engineering, Dhaka University of Engineering & Technology (DUET), Gazipur 1700, Bangladesh
Md. Mijanur Rahaman: Department of Electrical and Electronic Engineering, Dhaka University of Engineering & Technology (DUET), Gazipur 1700, Bangladesh

Energies, 2020, vol. 13, issue 17, 1-24

Abstract: The steady increase in energy demand for residential consumers requires an efficient energy management scheme. Utility organizations encourage household applicants to engage in residential energy management (REM) system. The utility’s primary goal is to reduce system peak load demand while consumer intends to reduce electricity bills. The benefits of REM can be enhanced with renewable energy sources (RESs), backup battery storage system (BBSS), and optimal power-sharing strategies. This paper aims to reduce energy usages and monetary cost for smart grid communities with an efficient home energy management scheme (HEMS). Normally, the residential consumer deals with numerous smart home appliances that have various operating time priorities depending on consumer preferences. In this paper, a cost-efficient power-sharing technique is developed which works based on priorities of appliances’ operating time. The home appliances are sorted on priority basis and the BBSS are charged and discharged based on the energy availability within the smart grid communities and real time energy pricing. The benefits of optimal power-sharing techniques with the RESs and BBSS are analyzed by taking three different scenarios which are simulated by C++ software package. Extensive case studies are carried out to validate the effectiveness of the proposed energy management scheme. It is demonstrated that the proposed method can save energy and reduce electricity cost up to 35% and 45% compared to the existing methods.

Keywords: home energy management scheme (HEMS); smart grid; renewable energy sources (RESs); power sharing algorithm (PSA); residence energy management (REM) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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