Abstract: Different operating entities within the microgrid group had conflicts of interest in electricity trading, and the current game methods did not fully account for the impact of differences between cooperative alliances on microgrid benefit. In this case, a microgrid group electricity trading strategy was proposed with the prioritization of alliances taken into account. A game framework for electricity trading within the microgrid group was established, where the microgrid group aggregator engaged in a Stackelberg game with the microgrid group to determine the buying and selling prices as well as the trading demand. Within the microgrid group, a cooperative game was prioritized to maximize the benefit. When solving the cooperative game, the differences between different microgrid alliances were considered, and the effective alliances with prioritized relationships and ineffective alliances were identified based on the trading demands. The allocation of the total cooperative benefit of the microgrid group was accomplished utilizing the goal programming method. A data-driven approach was employed throughout the game process to calculate the microgrid's trading demand, avoiding the need for complex modeling of microgrid decision-making behaviors. The calculation results indicate that the proposed model and method effectively coordinate the interests of various entities within the microgrid group in electricity trading, thereby achieving a fair distribution of benefit among the microgrids within the group.