To enhance the flexible interactions among multiple energy carriers, i.e., electricity, thermal power and gas, a coordinated programming method for multi-energy microgrid (MEMG) system is proposed. Various energy requirements for both residential and parking loads are managed simultaneously, i.e., electric and thermal loads for residence, and charging power and gas filling requirements for parking vehicles. The proposed model is formulated as a two-stage joint chance-constrained programming, where the first stage is a day-ahead operation problem that provides the hourly generation, conversion, and storage towards the minimization of operation cost considering the forecasting error of photovoltaic output and load demand. Meanwhile, the second stage is an on-line scheduling which adjusts the energy scheme in hourly time-scale for the uncertainty realizations. Simulations have demonstrated the validity of the proposed method, i.e., collecting the flexibilities of thermal system, gas system, and parking vehicles to facilitate the operation of electrical networks. Sensitivity analysis shows that the proposed scheme can achieve a compromise between the operation efficiency and service quality.

中文翻译：

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多能量微电网系统协调机会约束优化，以平衡运营效率和服务质量

为了增强电力，火力和天然气等多种能源载体之间的灵活互动，提出了一种多能源微电网（MEMG）系统的协同编程方法。同时管理住宅和停车负载的各种能源需求，即住宅的电力和热负载，以及停车车辆的充电功率和充气需求。拟议的模型被公式化为两阶段联合机会受限编程，其中第一阶段是日间运行问题，考虑到光伏输出的预测误差，该问题提供每小时的发电，转换和存储，从而使运行成本最小化和负载需求。与此同时，第二阶段是在线调度，它以小时为单位调整能源方案，以实现不确定性。仿真证明了所提出方法的有效性，即收集热力系统，燃气系统和停车车辆的灵活性以促进电网的运行。敏感性分析表明，该方案可以在运营效率和服务质量之间取得折中。