Optimal Active Fault Detection in Inverter-Based Grids

2022/09/14 by Mohammad Pirani, Pirani, Mohammad, Mehdi Hosseinzadeh +5
Engineering · #FOS: Electrical engineering #FOS: Mathematics #HVDC Systems and Fault Protection #Microgrid Control and Optimization #Multilevel Inverters and Converters #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2209.06760

openalex publication_date 2022/09/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

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