A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment

Sana Iqbal, Mohammad Sarfraz, Mohammad Ayyub, Mohd Tariq, Ripon K. Chakrabortty, Michael J. Ryan and Basem Alamri
Additional contact information
Sana Iqbal: Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh 202002, India
Mohammad Sarfraz: Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh 202002, India
Mohammad Ayyub: Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh 202002, India
Mohd Tariq: Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh 202002, India
Ripon K. Chakrabortty: Capability Systems Centre, School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2612, Australia
Michael J. Ryan: Capability Systems Centre, School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2612, Australia
Basem Alamri: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia

Sustainability, 2021, vol. 13, issue 13, 1-23

Abstract: The ever increasing demand for electricity and the rapid increase in the number of automatic electrical appliances have posed a critical energy management challenge for both utilities and consumers. Substantial work has been reported on the Home Energy Management System (HEMS) but to the best of our knowledge, there is no single review highlighting all recent and past developments on Demand Side Management (DSM) and HEMS altogether. The purpose of each study is to raise user comfort, load scheduling, energy minimization, or economic dispatch problem. Researchers have proposed different soft computing and optimization techniques to address the challenge, but still it seems to be a pressing issue. This paper presents a comprehensive review of research on DSM strategies to identify the challenging perspectives for future study. We have described DSM strategies, their deployment and communication technologies. The application of soft computing techniques such as Fuzzy Logic (FL), Artificial Neural Network (ANN), and Evolutionary Computation (EC) is discussed to deal with energy consumption minimization and scheduling problems. Different optimization-based DSM approaches are also reviewed. We have also reviewed the practical aspects of DSM implementation for smart energy management.

Keywords: demand response; demand-side management; energy consumption optimization; energy efficiency; load scheduling; smart grid; smart home (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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