Open AccessA data‐driven fault detection and fault‐tolerant control scheme for large‐scale systems and its application on multi‐area interconnected power systems
Author(s) -
Gao Jingjing,
Yang Xu,
Huang Jian,
Peng Kaixiang
Publication year - 2023
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/cth2.12377
Subject(s) - fault tolerance , control theory (sociology) , observer (physics) , control engineering , fault detection and isolation , residual , computer science , electric power system , controller (irrigation) , scheme (mathematics) , engineering , power (physics) , distributed computing , control (management) , actuator , mathematics , artificial intelligence , algorithm , mathematical analysis , agronomy , physics , quantum mechanics , biology
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.