An Economic Dispatching Optimization Method for Multi‐Microgrid System Considering Electricity‐CET‐TGC Market Mechanism Based on Modified State‐Based Potential Game
Sibo Wang, Yiheng Bian, Gengfeng Li, Zhaohong BieABSTRACT
Carbon emission trading (CET) and tradable green certificates (TGC) are crucial market instruments for achieving carbon neutrality and promoting renewable energy. Multi‐microgrid systems offer an effective platform for aggregating distributed renewable resources, yet their economic dispatch under coupled electricity‐CET‐TGC (ECT) markets remains underexplored. This paper proposes a dual‐layer optimization model to address this gap. First, a single‐microgrid ECT trading model is developed for internal resource allocation. Second, recognizing that traditional state‐based potential game (SPG) cannot directly handle the multiple private, non‐coupled constraints of each microgrid in the multi‐microgrid system, a modified SPG is introduced to establish the inter‐microgrid ECT trading model. Third, a dual‐layer rolling optimization method iteratively coordinates the two layers. Simulation results demonstrate that: The proposed dual‐layer trading mechanism increases social welfare by 23.15% and reduces renewable energy curtailment by 41.88%, while preserving participant privacy; The dual‐layer mechanism with real‐time floating prices stabilizes CET and TGC prices across microgrids, incentivizing low‐carbon technologies; The modified SPG algorithm achieves faster convergence and better suits distributed environments compared to ADMM. In conclusion, this work provides an effective framework for coordinating multi‐microgrid dispatch under coupled market mechanisms considering information privacy, supporting the transition toward low‐carbon energy systems.