Title: UIO-based innovative resilience strategies for false data injection attacks in multi-area power systems

Authors: Zhou Zheng

Addresses: School of Electrical Engineering, North China Electric Power University, No. 2 Beinong Road, Huilongguan, Changping District, Beijing, 102206, China

Abstract: False data injection (FDI) attacks threaten the security and stability of multi-area interconnected power systems by compromising control accuracy and state estimation. This paper proposes a defence framework integrating event-triggered control and the unknown input observer (UIO) technique to mitigate these attacks. Event-triggered control reduces unnecessary data transmission while ensuring real-time monitoring of critical system states, and UIO enhances detection by estimating unknown inputs. A comprehensive model of multi-area interconnected power systems is developed to evaluate the impact of FDI attacks and the proposed defence strategy. Simulation results demonstrate that the proposed method significantly outperforms traditional data integrity verification approaches in terms of detection accuracy and system resilience, highlighting its potential for practical application in securing critical power infrastructures.

Keywords: system dynamics; power system modelling; adaptive control; UIO; unknown input observer; FDI; false data injection.

DOI: 10.1504/IJMMS.2025.148939

International Journal of Mechatronics and Manufacturing Systems, 2025 Vol.18 No.1, pp.47 - 71

Received: 13 Jun 2024
Accepted: 06 Jan 2025
Published online: 04 Oct 2025 *

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