Real-Time Estimation and Defense of PV Inverter Sensor Attacks With Hardware Implementation
K. Pan (College of Electrical Engineering, Zhejiang University, TU Delft - Intelligent Electrical Power Grids)
Zhiyun Wang (College of Electrical Engineering, Zhejiang University)
J. Dong (TU Delft - Team Peyman Mohajerin Esfahani, Uppsala University)
P Palensky (TU Delft - Electrical Sustainable Energy)
Wenyuan Xu (College of Electrical Engineering, Zhejiang University)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Sensor attacks on grid-tie photovoltaic (PV) inverters can cause severe damage. Considering uncertain environments and unknown model mismatches, real-time estimation and defense for sensor attacks on actual PV inverters are challenging. In this article, we propose an optimization-driven robust estimator within the attack frequency range using the H∞ index, while the model mismatch effect on estimation is also minimized. To improve the real-time response under varying environments, an analytical solution from a convex quadratic programming reformulation is constructed. Guided by the estimation, we further develop a closed-loop compensation strategy with a tracking controller and a low-pass filter. Through code porting, our proposed defense strategy has been implemented in a microcommercial PV inverter. Hardware implementations show that our defense approach can effectively mitigate sensor attacks and maintain stable inverter operation.