Shakeri, Mohammad and Amin, Nowshad and Pasupuleti, Jagadeesh and Mehbodniya, Abolfazl and Asim, Nilofar and Tiong, Sieh Kiong and Low, Foo Wah and Yaw, Chong Tak and Samsudin, Nurul Asma and Rokonuzzaman, Md and Hen, Chong Kok and Lai, Chin Wei (2020) An autonomous home energy management system using dynamic priority strategy in conventional homes. Energies, 13 (13). ISSN 19961073,
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Funders: | Kementerian Pendidikan Malaysia [Grant No: LRGS/1/2019/UKM-UNITEN/6/2] |
| Uncontrolled Keywords: | Home energy management system; Internet of things; Smart grid; smart home; Smart plugs; Wireless sensor network |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Nanotechnology & Catalysis Research Centre |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 13 Aug 2024 02:04 |
| Last Modified: | 13 Aug 2024 02:04 |
| URI: | http://eprints.um.edu.my/id/eprint/36594 |
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