This paper presents a hybrid cooperative-competitive strategy to model the transactive energy in the inter-connected microgrid (ICMG) systems. The interaction between the distribution system operator (DSO) and ICMG system is formulated by a dynamic leader multi-followers framework. The DSO at the upper-level of optimization designs the transactive prices for the energy exchange with ICMG. The goal of DSO is profit maximization that is provided by selling energy to the MGs. At the lower level, an analytic algorithm is performed to study the cooperation among MGs and increases the bargaining power of ICMG. The proposed model investigates all of the strategies to ensure the optimal solution. The Shapley value is employed to allocate the overall gain of cooperation among MGs based on their contribution. All of the strategies are ranked and classified using the utility concept and the best coalition is selected by the average class. A probabilistic approach is used to handle the uncertain natures of renewable generation, market prices, and loads. The proposed model is applied to a standard case study. The simulation results show that the cost of the ICMG has been decreased. Also, cooperation among MGs reduces the number of interrupts and the amount of load shedding.

本文提出了一种混合合作竞争策略来模拟互连微电网 (ICMG) 系统中的交互能量。配电系统运营商 (DSO) 和 ICMG 系统之间的交互由动态领导者多追随者框架制定。优化上层的 DSO 设计与 ICMG 进行能量交换的交易价格。DSO 的目标是通过向 MG 出售能源来实现利润最大化。在下层，通过解析算法研究MG之间的合作，增加ICMG的议价能力。所提出的模型调查了所有策略以确保最佳解决方案。Shapley 值用于根据 MG 的贡献分配其合作的总体收益。使用效用概念对所有策略进行排序和分类，并由平均类别选择最佳联盟。概率方法用于处理可再生能源发电、市场价格和负载的不确定性。所提出的模型应用于标准案例研究。仿真结果表明ICMG的成本已经降低。此外，MG 之间的合作减少了中断次数和减载量。