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https://ptsldigital.ukm.my/jspui/handle/123456789/486886Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Nowshad Amin, Prof. Dr. | - |
| dc.contributor.author | Mohammad Shakeri (P70486) | - |
| dc.date.accessioned | 2023-10-11T02:26:16Z | - |
| dc.date.available | 2023-10-11T02:26:16Z | - |
| dc.date.issued | 2018-01-17 | - |
| dc.identifier.other | ukmvital:100018 | - |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/486886 | - |
| dc.description | The Home Energy Management System (HEMS) is an important part of the smart grid that enables the residential customers to execute demand response programs autonomously. However, existence algorithm and strategies on one hand, are unable to control the peak hours or can cause human discomfort which is very crucial in order to meet the residences' needs. Furthermore, most appliances that are used in demand are still uncontrollable and they cannot be integrated in demand response programs to optimize the overall power consumption. The proposed algorithm receives the price information from the utility company in advance and purchases the electricity at offpeak hours and utilizes the battery for storage as well as manages the total consumption of the electrical appliances during peak hours. The proposed smart house is supported by an optimal photovoltaic system with battery storage. In order to investigate the implementation potential of the algorithm, a simulation analysis with MATLAB and SIMULINK software is implemented. Three scenarios have been defined to verify the algorithm. In the first scenario, electrical appliances are operating on normal grid line, in the second scenario electrical appliances are shifting from peak hours to off-peak hours, whereas in the third scenario the proposed algorithm is used. The results show that the proposed algorithm can reduce the electricity cost up to 18% in terms of levelized cost of energy (LCOE) than the cost in shifting the appliances to the other time slot. Finally, a pilot system structure and control system that is made up of inhouse developed smart controller and smart plugs to interact with conventional electrical appliances and control them through wireless communication is designed and implemented. The proposed system structure has been tested for three months and results show that the algorithm can reduce the electricity price up to 15% with the minimum sacrifice in human comforts.,Ph.D. | - |
| dc.language.iso | eng | - |
| dc.publisher | UKM, Bangi | - |
| dc.relation | Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina | - |
| dc.rights | UKM | - |
| dc.subject | Dwellings -- Energy conservation -- Data processing | - |
| dc.title | Development of control algorithm and home energy management system strategy for smart home equipped with grid connection and solar PV system | - |
| dc.type | Theses | - |
| dc.format.pages | 142 | - |
| dc.identifier.callno | TJ163.5.D86S533 2018 3 tesis | - |
| dc.identifier.barcode | 003346(2018) | - |
| Appears in Collections: | Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_100018+SOURCE1+SOURCE1.0.PDF Restricted Access | 9.97 MB | Adobe PDF |  View/Open |
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