A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming

• URL: http://arxiv.org/abs/2310.05932v1
• Date: Mon, 21 Aug 2023 13:22:20 GMT
• Title: A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming
• Authors: Mian Ibad Ali Shah, Abdul Wahid, Enda Barrett, Karl Mason
• Abstract summary: We propose the Multi-Agent Peer-to-Peer Dairy Farm Energy Simulator (MAPDES) to enable 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.
• Score: 3.441021278275805
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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