Two-sided matching strategy for peer-to-peer energy trading in community energy markets: Enhancing urban energy hub planning and development

The potential growth in energy demand has led to higher fossil fuel consumption, resulting in more significant environmental pollution and global warming. Maximizing prosumer and consumer profit while ensuring the efficient utilization of local energy in a sustainable community energy market remains a challenge. This study proposes a multi-round, priority-based, two-sided matching strategy to address these challenges. The strategy is integrated with Grey Wolf Optimization (GWO). It is used for peer-to-peer (P2P) energy trading in a 14-user community. The proposed framework is analyzed across five scenarios. In scenario 1, the total load is met by the grid. In Scenario 2, prosumers use the PV system and battery storage and leave excess generation unused. Scenario 3 sells excess generation to the grid without any change in grid dependence. In scenario 4, battery storage and P2P trading are introduced. Prosumers trade excess generation directly with consumers. This reduces dependence on the grid and generates revenue. Scenario 5 extends this by adding multi-round P2P trading. Excess energy is sold to consumers at a lower price than the grid rate in multi-round trading. The numerical results show that in the proposed scenario, prosumers (P-1 to P-7) achieve a profit ranging from 148.34% to 409.92% compared to scenario 4. Similarly, the energy cost for consumers (C-1 to C-7) decreases by 3.39% to 263.82% compared to scenario 4. Additionally, carbon emission cost reductions are observed. There is a 31.13% reduction compared to scenario 1. A 17.47% reduction is observed compared to scenarios 2 and 3. The reduction is 0.77% compared to scenario 4. The results illustrate that the multi-round trading strategy in scenario 5 reduces consumer costs and increases prosumer profits. This improves the economic viability of P2P energy trading at the community level.