Application of MOPSO to the Optimisation of an Off-Grid Photovoltaic System in a Rural Fruit Farm | ||
| Journal of Engineering Science and Sustainable Industrial Technology | ||
| Volume 1, Issue 1, January 2023, Pages 7-13 PDF (453.67 K) | ||
| DOI: 10.21608/jessit.2023.304319 | ||
| Authors | ||
| mohamed Samy* 1; Shimaa Barakat2 | ||
| 1Asscoiate Professor at the Department of Electrical Engineering, Faculty of Engineering, Beni- Suef University, Egypt | ||
| 2Assistant Professor at the Department of Electrical Engineering, Faculty of Engineering, Beni- Suef University, Egypt | ||
| Abstract | ||
| An off-grid PV energy system's performance is primarily determined by the Total Net Present Cost (TNPC), which is utilized as a metric to measure the off-grid PV scheme's profitability, and the Loss of Power Supply Probability (LPSP) and Surplus Energy proportion (SEP), which are used to assess the Suggestion system's reliability. that provide enough electricity to a fruit orchard situated on 60 acres new city of Borg El Arab, Alexandria, Egypt multi-objective improvement of an optimum off-grid PV power framework was implemented. Dribble water system and artesian wells are utilized on the site. Apple trees and grapevines cover 40 acres of the farm's land, with another 20 acres planted in grapes. The output power of an off-grid photovoltaic power framework was estimated utilization mathematical models, which were presented. This study's findings revealed the optimal amount of battery banks and PV panels, the system's TNPC, and the price of kWh delivered by the proposed framework, as well as the Surplus Energy Percentage (SEP). | ||
| Keywords | ||
| Multi-Objective optimization; PV; battery bank; price of power; Loss of Power Supply Probability; Surplus Energy Percentage | ||
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