A data‐driven fault detection and fault‐tolerant control scheme for large‐scale systems and its application on multi‐area interconnected power systems

Abstract

Abstract Stimulated by the enhancing requirements for system safety as well as process reliability in complex industrial processes, this paper investigates a data‐driven fault detection and fault‐tolerant control scheme for large‐scale systems. To this end, a pair‐wise decomposition approach is first presented based on the inclusion principle, which expands the original large‐scale system into a set of disjointed pair‐wise subsystems. Then, for the pair‐wise subsystems, the observer‐based residual generators and observer‐based state feedback controllers for fault detection and fault‐tolerant control purpose are further developed in a decentralized way. On this basis, the fault‐tolerant controller for the original large‐scale system is obtained by the coordination and contraction of the decentralized observer‐based state feedback controllers. Finally, the feasibility and effectiveness of the proposed scheme are demonstrated through the case study on a multi‐area interconnected power system.