Home Energy Management Systems: A Review of the Concept, Architecture, and Scheduling Strategies

被引:36
|
作者
Han, Binghui [1 ]
Zahraoui, Younes [2 ]
Mubin, Marizan [1 ]
Mekhilef, Saad [3 ,4 ]
Seyedmahmoudian, Mehdi [3 ]
Stojcevski, Alex [3 ]
机构
[1] Univ Malaya, Fac Engn, Dept Elect Engn, Power Elect & Renewable Energy Res Lab PEARL, Kuala Lumpur 50603, Malaysia
[2] Tallinn Univ Technol, FinEst Ctr Smart Cities, EE-19086 Tallinn, Estonia
[3] Swinburne Univ Technol, Fac Sci Engn & Technol, Sch Software & Elect Engn, Hawthorn, Vic 3122, Australia
[4] Univ Tenaga Nas, Coll Engn, Dept Elect Engn, Selangor 43000, Malaysia
关键词
Optimization; Energy management systems; Home appliances; Renewable energy sources; Market research; Reliability; Optimal scheduling; Demand response; home appliances; home energy management system; optimization; renewable energy resources; smart grid; RESIDENTIAL DEMAND RESPONSE; PHOTOVOLTAIC SYSTEM; ELECTRICITY CONSUMPTION; HOUSEHOLD APPLIANCES; CONSUMER PREFERENCES; THERMAL COMFORT; WIND TURBINE; STORAGE; OPTIMIZATION; HYBRID;
D O I
10.1109/ACCESS.2023.3248502
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Growing electricity demand, the deployment of renewable energy sources and the widespread use of smart home appliances provide new opportunities for home energy management systems (HEMSs), which can be defined as systems that improve the overall energy production and consumption of residential buildings by controlling and scheduling the use of household equipment. By saving energy, reducing residential electricity costs, optimizing the utilization rate and reliability of utility companies' power systems, and reducing air pollution for society, HEMSs lead to an enhancement in the socioeconomic development of low-carbon economies. This review aims to systematically analyze and summarize the development trends and challenges of HEMSs in recent years. This paper reviews the development history of the HEMS architecture and discusses the characteristics of several major communication technologies in the current HEMS infrastructure. In addition, the common objectives and constraints related to scheduling optimization are classified, and several optimization methods in the literature, including various intelligent algorithms, have been introduced, compared, and critically analyzed. Furthermore, experimental studies and challenges in the real world are also summarized and recommendations are given. This paper reveals the trend from simple to complex in the architecture and functionality of HEMSs, discusses the challenges for future improvements in modeling and scheduling, and shows the development of various modeling and scheduling methods. Based on this review, researchers can gain a comprehensive understanding of current research trends in HEMSs and open up ideas for developing new modeling and scheduling approaches by gaining insight into the trade-offs between optimum solutions and computational complexity.
引用
收藏
页码:19999 / 20025
页数:27
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