SCIEPublish

Distinguishing IGBT Open-Circuit Faults from DoS-Induced Anomalies in Smart Grids

Article Open Access

Distinguishing IGBT Open-Circuit Faults from DoS-Induced Anomalies in Smart Grids

Author Information
Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, 1455 Boul. de Maisonneuve Ouest, Montreal, QC H3G 1M8, Canada
*
Authors to whom correspondence should be addressed.

Received: 04 February 2026 Revised: 10 March 2026 Accepted: 23 March 2026 Published: 02 April 2026

Creative Commons

© 2026 The authors. This is an open access article under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).

Views:117
Downloads:9
Smart Energy Syst. Res. 2026, 2(2), 10006; DOI: 10.70322/sesr.2026.10006
ABSTRACT: This paper investigates anomaly diagnosis for grid-tied three-phase inverters in cyber–physical smart grids, with an emphasis on distinguishing physical IGBT open-circuit physical faults from anomalies induced by denial-of-service (DoS) cyber-attacks. A super-twisting-based second-order interval sliding-mode observer is developed to estimate three-phase currents with bounded errors in the presence of uncertainties and disturbances. Based on analytical residual relationships, fault localization is achieved using the residual sign pattern and magnitude ratios for single-switch and same-leg double-switch open-circuit faults. In contrast, DoS-induced anomalies primarily manifest as effective current attenuation without deterministic residual sign or ratio patterns, enabling fault-type discrimination. Simulation results demonstrate that the proposed method achieves reliable anomaly diagnosis within one fundamental cycle, without requiring additional sensors or training data.
Keywords: Super-twisting algorithm; Second-order sliding-mode observer; Interval observer; IGBT open-circuit fault; Smart grid inverter; Denial-of-service cyber-attack
TOP