Citation

Rabbani, Nahin Ar and Tan, Wooi Nee and Lee, It Ee and Gwo, Chin Chung and Lim, Tiong Hoo and Sovatna, Phon and Touch, Long and Luangxaysaxana, Khanthanou and Thongphanh, Phutsavanh (2025) Optimal Battery Management Model for Profit-Oriented Grid-Connected Solar-Powered Smart Farms. In: 2025 13th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), 17-19 October 2025, Chengdu, China.

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Abstract

The increasing integration of renewable energy systems with agricultural infrastructure creates significant opportunities for sustainable and additional income beyond traditional agricultural harvests. This research proposes a mixed-integer linear programming model for grid-connected, solar-powered smart farms, with the aim of maximizing net profit through optimal management of battery energy storage system (BESS) and the sale of surplus energy to the grid as an extra revenue stream. Simulations are conducted over a one-week period using Time-of-Use (ToU) tariffs, considering various weather conditions such as sunny, cloudy, and rainy days. The results show that generating profit is feasible on sunny and cloudy days, while losses are incurred during rainy days. This study demonstrates the viability of enabling farmers to invest in renewable energy technologies by showcasing a cost-effective energy management strategy that optimizes energy usage, reduces reliance on grid electricity, and lowers operational costs, thereby empowering them to adopt sustainable practices that not only support environmental goals but also enhance long-term economic benefits.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	smart farms, renewable energy, battery energy storage system (BESS), linear programming, profit maximization
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK7871 Electronics--Materials
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	20 Apr 2026 02:37
Last Modified:	20 Apr 2026 02:37
URII:	http://shdl.mmu.edu.my/id/eprint/15757

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