This paper investigates multi-period optimal energy scheduling and trading for multi-microgrids (MMGs) integrated with an urban transportation network (UTN). Specifically, an optimization based multi-period traffic assignment model is built to characterize the vehicular flows considering rational drivers with time-flexible travel demand. Meanwhile, each microgrid (MG) is modeled to independently schedule its operation by trading energy with other MGs and charging electric vehicles (EVs) with its fast charging stations (FCSs). The EV charging prices could further influence traffic flow distribution of the UTN. To co-optimize the coupled system, a multi-agent based optimal scheduling and trading scheme is proposed, which is facilitated by peer-to-peer communication of transactive energy information among the agents, thus can preserve privacy of the market participants. Within the scheme, the MGs and EVs take their optimal decisions in response to MG energy trading and EV charging prices updated via multi-bilateral negotiation based on the demand-supply relationship. When an equilibrium of the coupled system is reached, each MG can minimize its operation cost, and the traffic condition could also be improved. Case studies of a MMG system coupled with a double-ring UTN are conducted to validate the effectiveness of the scheme.

中文翻译：

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与城市交通网络相集成的基于多Agent的微电网最优调度与交易

本文研究了与城市交通网络（UTN）集成的多微电网（MMG）的多周期最优能源调度和交易。具体来说，建立了一个基于优化的多时段交通分配模型，以考虑具有时间弹性出行需求的合理驾驶员的特征来表征车辆流量。同时，对每个微电网（MG）进行建模，以通过与其他MG进行能源交易并通过其快速充电站（FCS）对电动汽车（EV）进行充电来独立地调度其运行。电动汽车的收费价格可能会进一步影响UTN的交通流量分配。为了共同优化耦合系统，提出了一种基于多主体的最优调度和交易方案，该机制通过各主体之间的交易能量信息的点对点通信而得以实现，因此可以保护市场参与者的隐私。在该计划内，MG和EV做出最佳决策，以响应MG能源交易和基于供需关系通过多边双边谈判更新的EV充电价格。当达到耦合系统的平衡时，每个MG可以将其运营成本降至最低，并且交通状况也可以得到改善。对带有双环UTN的MMG系统进行了案例研究，以验证该方案的有效性。交通状况也可以得到改善。对带有双环UTN的MMG系统进行了案例研究，以验证该方案的有效性。交通状况也可以得到改善。对带有双环UTN的MMG系统进行了案例研究，以验证该方案的有效性。