Non-Iterative Decentralized Peer-to-Peer Market Clearing in Multi-Microgrid Systems via Model Substitution and Network Reduction

In the existing literature, P2P energy trading market can be cleared in a centralized, distributed or decentralized manner. The decentralized market structure is in line with the energy prosumer dominance essence. However, the iteration process in the current decentralized market-clearing method poses significant challenges to the computation and communication of the power system. Therefore, we develop a non-iterative decentralized market-clearing method in this article. We first model the energy trading behaviors inside microgrids as Stackelberg games. Since the microgrids and prosumers have heterogeneous market roles, we employ a continuous double auction mechanism to simulate the bidding processes of microgrids after the intra-microgrid markets are cleared. Then, we analyze the energy buyers' best responses to the sellers' prices and formulate the traded power as piecewise constant functions concerning prices. We linearize the distribution network security constraints as piecewise constant constraints. We propose the concepts of active trading segments and critical security constraints based on these piecewise constant functions. According to numerical simulation results, our proposed method can effectively identify the substitution model within a few steps. Considering the heterogeneous market roles and detailed distribution network constraints, the identified substitution model could accurately portray the market members' behaviors. The non-iterative market-clearing time does not increase with the problem scale, which verifies the computational efficiency.