Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Legal Implications of Smart Grid Energy Management on System: Sustainability, Privacy, Security, and Regulatory Challenges

Version 1 : Received: 5 June 2023 / Approved: 6 June 2023 / Online: 6 June 2023 (10:19:02 CEST)

How to cite: Wen, Y.; Xu, D.; Dehghan, B. Legal Implications of Smart Grid Energy Management on System: Sustainability, Privacy, Security, and Regulatory Challenges. Preprints 2023, 2023060443. https://doi.org/10.20944/preprints202306.0443.v1 Wen, Y.; Xu, D.; Dehghan, B. Legal Implications of Smart Grid Energy Management on System: Sustainability, Privacy, Security, and Regulatory Challenges. Preprints 2023, 2023060443. https://doi.org/10.20944/preprints202306.0443.v1

Abstract

The use of smart grids has enabled a number of planning methods to be developed to optimize energy costs, Peak to Average Ratios (PARs), and consumer satisfaction for load management in industrial, commercial, and domestic sectors. From a technical point of view, achieving optimal outcomes requires Demand Side Management (DSM). In smart grids, utility companies and electric users communicate two-way using digital technology to make a sustainable and economic system. This paper proposes a novel framework within which an Energy Management Controller (EMC) keeps track of each appliance, its operational time, and the costs associated with them. Customers of smart grids are motivated to shift their Off-Peak Hours (OPH) from Peak Hours by presenting incentives in OPH. The metering devices would also save customers costs by preventing load shifting between high- and low-cost periods. In addition, the study proposes the bacterial foraging algorithm and grasshopper optimization algorithm for lessening power price and PAR without compromising user comfort (UC) through appliance planning. The simulation results on a practical test system advocate the high effectiveness and reliable performance of the proposed model.

Keywords

Energy management; smart grid; sustainability; heuristic optimization algorithm; peak to average rations; user comfort

Subject

Engineering, Other

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