An Autonomous Home Energy Management System Using Dynamic Priority Strategy in Conventional Homes
Mohammad Shakeri,
Nowshad Amin,
Jagadeesh Pasupuleti,
Abolfazl Mehbodniya,
Nilofar Asim,
Sieh Kiong Tiong,
Foo Wah Low,
Chong Tak Yaw,
Nurul Asma Samsudin,
Md Rokonuzzaman,
Chong Kok Hen,
Chin Wei Lai
Affiliations
Mohammad Shakeri
Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia
Nowshad Amin
Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia
Jagadeesh Pasupuleti
Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia
Abolfazl Mehbodniya
Department of Electronics and Comm. Engineering, Kuwait College of Science and Technology (KCST), Doha, Kuwait
Nilofar Asim
Solar Energy Research Institute (SERI), Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
Sieh Kiong Tiong
Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia
Foo Wah Low
Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia
Chong Tak Yaw
Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia
Nurul Asma Samsudin
Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia
Md Rokonuzzaman
Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia
Chong Kok Hen
Department of Electronicsand Communication Engineering, College of Engineering, Universiti Tenaga Nasional (The Energy University), Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia
Chin Wei Lai
Nanotechnology and Catalysis Research Centre (NANOCAT), Level 3, IAS Building, University of Malaya (UM), Kuala Lumpur 50603, Malaysia
With the growth in smart technology, customers have a chance to contribute to demand response programs and reduce their bills of electricity actively. This paper presents an intelligent wireless smart plug demonstration, which is designed to control the electrical appliances in the home energy management system (HEMS) application with a response to the utility company’s signal. Besides, a linear model of an energy management system utilizing a dynamic priority for electrical appliances is used as an energy management strategy. This can be useful for decreasing energy consumption in peak hours. Proposed hardware is tested with two different price strategies such as real-time pricing and a combination of this and incremental block rate (IBR) pricing. A small one-story house with ordinary electrical appliances is used as a test-bed for the proposed hardware and strategy. Initial results show that intelligent plugs can decrease the energy cost by 9% per day with an effective peak-to-average ratio deduction compared to the domicile without deploying intelligent plugs and controllers.
