论文标题
在线反馈优化，用于亚transmission网格控制
Online Feedback Optimization for Subtransmission Grid Control
论文作者
论文摘要
越来越多的电力消耗以及向可再生能源资源的转变，要求需要新的传输和亚电传输网格。在线反馈优化（OFO）是一种反馈控制方法，可以实时，受限和最佳控制这些网格。这样的控制器可以最大程度地减少，例如减少和损失，同时满足电压限制（例如电压和当前限制）。我们量身定制并扩展了OFO控制方法，以处理离散输入，并说明如何为子传输网格设计一个OFO控制器。我们提出了一个新颖的公开基准测试，该基准是真正的法国亚拖网网格，我们在该网格上分析了拟议中的控制器，以抵抗模型不匹配，约束满意度和跟踪性能。总体而言，我们表明OFO控制器可以通过使用连接到分配网格的可再生生成器提供的灵活性来帮助将网格全面利用，并实际上加强它，并实时地实时操作它。
The increasing electric power consumption and the shift towards renewable energy resources demand for new ways to operate transmission and subtransmission grids. Online Feedback Optimization (OFO) is a feedback control method that enables real-time, constrained, and optimal control of these grids. Such controllers can minimize, e.g., curtailment and losses while satisfying grid constraints like voltage and current limits. We tailor and extend the OFO control method to handle discrete inputs and explain how to design an OFO controller for the subtransmission grid. We present a novel and publicly available benchmark which is of the real French subtransmission grid on which we analyze the proposed controller in terms of robustness against model mismatch, constraint satisfaction, and tracking performance. Overall, we show that OFO controllers can help utilize the grid to its full extent, virtually reinforce it, and operate it optimally and in real-time by using flexibility offered by renewable generators connected to distribution grids.
