A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming
This addresses energy cost and efficiency challenges for dairy farmers, but it is incremental as it applies an existing multi-agent systems approach to a specific domain.
The paper tackled the problem of integrating renewable generation and peer-to-peer energy trading in dairy farming by proposing a multi-agent simulator, resulting in reductions of electricity costs by 30% and peak demand by 24%, and an increase in energy sales by 37% compared to a baseline without peer-to-peer trading.
To achieve desired carbon emission reductions, integrating renewable generation and accelerating the adoption of peer-to-peer energy trading is crucial. This is especially important for energy-intensive farming, like dairy farming. However, integrating renewables and peer-to-peer trading presents challenges. To address this, we propose the Multi-Agent Peer-to-Peer Dairy Farm Energy Simulator (MAPDES), enabling dairy farms to participate in peer-to-peer markets. Our strategy reduces electricity costs and peak demand by approximately 30% and 24% respectively, while increasing energy sales by 37% compared to the baseline scenario without P2P trading. This demonstrates the effectiveness of our approach.