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

被引:18
|
作者
Alsokhiry, Fahad [1 ,2 ]
Siano, Pierluigi [3 ,4 ]
Annuk, Andres [5 ]
Mohamed, Mohamed A. [6 ]
机构
[1] King Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia
[2] King Abdulaziz Univ, KA Care Energy Res & Innovat Ctr, Jeddah 21589, Saudi Arabia
[3] Univ Salerno, Dept Management & Innovat Syst, I-84084 Fisciano, Italy
[4] Univ Johannesburg, Dept Elect & Elect Engn Sci, ZA-2006 Johannesburg, South Africa
[5] Estonian Univ Life Sci, Inst Forestry & Engn, EE-51006 Tartu, Estonia
[6] Minia Univ, Fac Engn, Elect Engn Dept, Al Minya 61519, Egypt
关键词
demand side management; peak-to-average ratio; wind-driven optimization algorithm; energy management system; smart home appliances; DEMAND RESPONSE; OPTIMIZATION; ALGORITHM; MODEL;
D O I
10.3390/su142114556
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:20
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