Hierarchical Microgrid Energy Management in an Office Building

A two-stage hierarchical Microgrid energy management method in an office building is proposed, which considers uncertainties from renewable generation, electric load demand, outdoor temperature and solar radiation. In stage 1, a day-ahead optimal economic dispatch method is proposed to minimize the daily Microgrid operating cost, with the virtual energy storage system being dispatched as a flexible resource. In stage 2, a two-layer intra-hour adjustment methodology is proposed to smooth the power exchanges at the point of common coupling by coordinating the virtual energy storage system and the electric vehicles at two different time scales. A Vehicle-to-Building control strategy was developed to dispatch the electric vehicles as a flexible resource. Numerical studies demonstrated that the proposed method is able to reduce the daily operating cost at the day-ahead dispatch stage and smooth the fluctuations of the electric power exchanges at the intra-hour adjustment stage. The dataset contains details of the test office building with electric vehicles integrated (thermal parameters, volume, outdoor temperature data, solar radiation data, electrical load, internal heat gain data and real-time electricity purchasing price, etc). It also contains the optimal dispatch results of the virtual energy storage system and the electric vehicles at both day-ahead and intra-hour stages.

本文提出一种面向办公楼场景的两级分层微电网（Microgrid）能量管理方法，该方法考虑了可再生能源发电、电力负荷需求、室外温度与太阳辐射带来的不确定性。第一阶段提出日前最优经济调度方法，以最小化微电网日运行成本，将虚拟储能系统（virtual energy storage system）作为灵活资源进行调度。第二阶段提出双层日内调整方法，通过在两类不同时间尺度下协调虚拟储能系统与电动汽车，平抑公共连接点（point of common coupling）处的功率交换波动。本文开发了车到楼宇（Vehicle-to-Building）控制策略，用于将电动汽车作为灵活资源开展调度。数值仿真结果表明，所提方法可在日前调度阶段降低微电网日运行成本，并在日内调整阶段平抑电力交换的功率波动。本数据集包含集成电动汽车的试验办公楼的详细参数，包括热工参数、建筑体积、室外温度数据、太阳辐射数据、电力负荷、室内得热数据以及实时购电价格等；同时包含虚拟储能系统与电动汽车在日前及日内两个阶段的最优调度结果。