Abstract
Solar power is the dominant renewable energy source in smart homes. The amount of power generated by solar panels varies throughout the day, peaking at mid-day and reaching a minimum in the evening. This generation pattern often does not align with the household's energy consumption trends, resulting in the necessity of battery storage to be frequently charged during the day and discharged in the evening. In this paper, a novel fuzzy logic-based load shifting strategy is proposed for smart homes with battery storage and rooftop photovoltaic, where certain home appliances can be shifted. The aim is to reduce the overall dependency on the battery and minimize the grid power consumption. The proposed fuzzy control system is simulated, and its performance is evaluated under various scenarios. Results demonstrate a reduction of at least 16.21% in the battery charging/discharging cycles and a reduction of at least 54.34% in grid power consumption over one day.
| Original language | English |
|---|---|
| Title of host publication | The 25th IEEE International Conference on Industrial Technology (ICIT 2024) |
| Place of Publication | Piscataway, US |
| Publisher | IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350340266 |
| ISBN (Print) | 9798350340273 |
| DOIs | |
| Publication status | Published - 25 Mar 2024 |
| Event | ICIT2024: The 2024 International Conference on Industrial Technology (ICIT) - Bristol, United Kingdom Duration: 25 Mar 2024 → 27 Mar 2024 https://icit2024.ieee-ies.org/ |
Publication series
| Name | IEEE International Conference on Industrial Technology (ICIT) |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2641-0184 |
| ISSN (Electronic) | 2643-2978 |
Conference
| Conference | ICIT2024 |
|---|---|
| Country/Territory | United Kingdom |
| City | Bristol |
| Period | 25/03/24 → 27/03/24 |
| Internet address |
