论文标题
基于逆变器的网格中的最佳主动故障检测
Optimal Active Fault Detection in Inverter-Based Grids
论文作者
论文摘要
基于转换器的网格中的地面故障可能很难检测到，因为与具有同步机的网格不同，它们通常不会导致大型电流。最近的一个策略是为每个转换器注入一种扰动，该扰动使故障易于区分正常操作。在本文中，我们构建了与多个模型Kalman滤波器一起使用的最佳扰动序列。扰动最大化无故障操作和无故障操作之间的差异，同时尊重性能降解的限制。模拟表明，最佳输入序列在减少检测时间的同时增加了故障检测的置信度。结果表明，控制性能的检测和降解之间存在权衡，而该方法对参数变化是可靠的。
Ground faults in converter-based grids can be difficult to detect because, unlike in grids with synchronous machines, they often do not result in large currents. One recent strategy is for each converter to inject a perturbation that makes faults easier to distinguish from normal operation. In this paper, we construct optimal perturbation sequences for use with the Multiple Model Kalman Filter. The perturbations maximize the difference between faulty and fault-free operation while respecting limits on performance degradation. Simulations show that the optimal input sequence increases the confidence of fault detection while decreasing detection time. It is shown that there is a tradeoff between detection and degradation of the control performance, and that the method is robust to parameter variations.
