A Novel Time-of-Use Pricing Based Energy Management System for Smart Home Appliances: Cost-Effective Method

Fahad Alsokhiry, Pierluigi Siano (), Andres Annuk and Mohamed A. Mohamed ()
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Fahad Alsokhiry: Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Pierluigi Siano: Department of Management & Innovation Systems, University of Salerno, 84084 Fisciano, Italy
Andres Annuk: Institute of Forestry and Engineering, Estonian University of Life Sciences, 51006 Tartu, Estonia
Mohamed A. Mohamed: Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61519, Egypt

Sustainability, 2022, vol. 14, issue 21, 1-20

Abstract: Smart grids (SG) allow users to plan and control device usage patterns optimally, thereby minimizing power costs, peak-to-average ratios (PAR), and peak load demands. The present study develops a typical framework of a home energy management system (HEMS) for SG scenarios using newly limited and multi-limited planning approaches for domestic users. Time-of-use pricing (TOUP) is used to develop, handle, and manage the optimization problem properly. As a capable method for optimizing the proposed problem, this paper uses a robust meta-heuristic algorithm named wind-driven optimization algorithm (WDOA) and compares it to the other optimization algorithms in order to demonstrate its efficiency. In addition, it integrates a rooftop photovoltaic (PV) system with the system in order to show that all devices are cost-effective if managed properly. Eight diverse case studies are analyzed using a variety of time planning algorithms. The simulation results advocate for the quality and high performance of the proposed model by minimizing the total cost and managing energy consumption economically.

Keywords: demand side management; peak-to-average ratio; wind-driven optimization algorithm; energy management system; smart home appliances (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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