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A Compendium of Performance Metrics, Pricing Schemes, Optimization Objectives, and Solution Methodologies of Demand Side Management for the Smart Grid

Sadiq Ahmad (), Ayaz Ahmad (), Muhammad Naeem (), Waleed Ejaz () and Hyung Seok Kim ()
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Sadiq Ahmad: Department of Electrical & Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantonment 47040, Pakistan
Ayaz Ahmad: Department of Electrical & Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantonment 47040, Pakistan
Muhammad Naeem: Department of Electrical & Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantonment 47040, Pakistan
Waleed Ejaz: Department of Applied Science & Engineering, Thompson Rivers University (TRU), Kamloops, BC V2C 0C8, Canada
Hyung Seok Kim: Department of Information & Communication Engineering, Sejong University, Seoul 143 747, Korea

Energies, 2018, vol. 11, issue 10, 1-33

Abstract: The curtailing of consumers’ peak hours demands and filling the gap caused by the mismatch between generation and utilization in power systems is a challenging task and also a very hot topic in the current research era. Researchers of the conventional power grid in the traditional power setup are confronting difficulties to figure out the above problem. Smart grid technology can handle these issues efficiently. In the smart grid, consumer demand can be efficiently managed and handled by employing demand-side management (DSM) algorithms. In general, DSM is an important element of smart grid technology. It can shape the consumers’ electricity demand curve according to the given load curve provided by the utilities/supplier. In this survey, we focused on DSM and potential applications of DSM in the smart grid. The review in this paper focuses on the research done over the last decade, to discuss the key concepts of DSM schemes employed for consumers’ demand management. We review DSM schemes under various categories, i.e., direct load reduction, load scheduling, DSM based on various pricing schemes, DSM based on optimization types, DSM based on various solution approaches, and home energy management based DSM. A comprehensive review of DSM performance metrics, optimization objectives, and solution methodologies is’ also provided in this survey. The role of distributed renewable energy resources (DERs) in achieving the optimization objectives and performance metrics is also revealed. The unpredictable nature of DERs and their impact on DSM are also exposed. The motivation of this paper is to contribute by providing a better understanding of DSM and the usage of DERs that can satisfy consumers’ electricity demand with efficient scheduling to achieve the performance metrics and optimization objectives.

Keywords: demand side management; renewable energy resources; smart grid; demand response management; distributed energy generation; real time pricing; time of use tariff; load profile; peak to average power ratio (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: 2018
References: View references in EconPapers View complete reference list from CitEc
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