AI Optimizes Dairy Farm Battery Management

This research introduces a novel multi-objective optimization control system designed for battery management in Irish dairy farms, aiming to integrate renewable energy more effectively and reduce carbon emissions. The system employs a two-layered approach: an upper layer utilizing dynamic pricing and a lower layer based on multi-agent Deep Reinforcement Learning (DRL) for battery control. Simulations of this control system within a rural distribution circuit demonstrated significant improvements. The proposed framework increased profits from energy arbitrage by up to 18% compared to rule-based models, boosted the utilization of distributed generation, and maintained compliance with Irish grid code voltage variation standards. This highlights the potential for DRL to optimize complex energy systems in agricultural settings.