配电台区灵活资源多时间尺度优化调度方法OA北大核心CSTPCD

With the proposal of the"dual carbon"goal,the distribution station area is connected to many new elements,such as distributed photovoltaics,electric vehicles,microgrids,and smart buildings,posing challenges to the safe operation of medium-and low-voltage distribution networks and offering considerably flexibility potential.Taking smart buildings connected to the distribution station area as an example,this study proposes a multi-time scale optimal scheduling method for a building microgrid considering a virtual storage system.Firstly,the thermal dynamics of the envelope of the building is modeled,and a virtual energy storage model that quantitatively describes the flexibility of buildings are constructed.The flexibility of buildings can be used by optimizing the charging and discharging powers of the virtual energy storage.Then,the adjustable virtual energy storage characteristics of buildings are considered in detail in the multi-time scale optimal scheduling model of flexible resources in distribution stations.The proposed multi-time scale optimal scheduling model can leverage the virtual energy storages at day-ahead and the intra-day stages.A day-ahead economic scheduling method aiming at the lowest operating cost and an intra-day correction method for tracking the setting value of the microgrid contact line is proposed.Finally,taking the cooling scenario in summer as an example,the effectiveness of the proposed multi-time-scale optimal scheduling method is verified using a typical building microgrid system.The results show that this method can effectively schedule the virtual energy storage capacity of the building,reduce the operating cost of the building microgrid in the day-ahead operation stage,and effectively mitigate the random fluctuation of renewable energy in the intra-day stage.