L2M NSERC - LEAF: a Low-voltage Energy Aggregation Framework for distributed energy resources

为了实现对全人类都很重要的可持续能源目标，我们必须以稳健和有弹性的方式增加光伏（PV）在配电网中的渗透。直到最近，光伏和其他分布在低压配电网中的分布式能源（DER）在这一水平上还没有显著的存在，因此在电网规划和管理软件工具方面存在一个关键的差距，这些软件工具可以从二级配电网扩展到一级配电网。我们的低压能量聚合框架（LEAF）根据电网互联标准评估网络动态，以实现运营和规划活动。它能够根据电压稳定性要求进行资产调度（存储、弃电、减载），并揭示了如何协调这些资产以安全地将更多的可再生能源引入电网。LEAF是一个用Python编程语言编写的轻量级框架，它允许数字孪生模型在云中运行，既可以作为仿真工具，也可以用于实时动态网络管理。

In order to achieve sustainable energy goals, which are of importance to all humanity, we must increase photovoltaic (PV) penetration into the distribution grid in a robust and resilient fashion. PV, along with other distributed energy resources (DER) throughout the low voltage distribution grid, has until recently not been a significant presence at this level so there is a critical gap in grid planning and management software tools that can scale from the secondary to the primary distribution level. Our Low-voltage Energy Aggregation Framework (LEAF) evaluates network dynamics against grid interconnection standards to enable both operational and planning activities. It enables asset dispatch (storage, curtailment, load reduction) as dictated by voltage stability requirements, and it reveals how to coordinate such assets to safely bring more renewables onto the grid. LEAF is a lightweight framework written in the Python programming language that allows digital twin models to run in the cloud, either as a simulation tool or for real-time dynamic network management.