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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 and Chin Wei Lai
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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

Energies, 2020, vol. 13, issue 13, 1-14

Abstract: 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.

Keywords: home energy management system; Internet of things; smart grid; smart home; smart plugs; wireless sensor network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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