Multi-microgrid P2P Electricity Trading Strategy Based on Improved Matching Index and Peak-clearing Mechanisms

With the increasing popularity of peer-to-peer (P2P) trading in multi-microgrid systems (MMGs), it has become increasingly important to improve the consumption of distributed renewable energy sources (RESs) within microgrids (MGs) and optimize their internal operations. This paper proposes an improved matching index considering the quality of new energy to reduce the waste of wind (WD) and photovoltaic (PV), and a peak-clearing electricity price mechanism to improve the utilization efficiency of energy storage (ES) within MMGs. The proposed methods are simulated and verified in a MMG containing four MGs, and the results demonstrate the effectiveness and applicability of the proposed methods in multi-microgrid energy trading.