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Lin Jiang

Researcher at University of Liverpool

Publications -  465
Citations -  14528

Lin Jiang is an academic researcher from University of Liverpool. The author has contributed to research in topics: Electric power system & Computer science. The author has an hindex of 50, co-authored 389 publications receiving 10061 citations. Previous affiliations of Lin Jiang include University of Sheffield & Xiamen University.

Papers
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Decentralized nonlinear optimal predictive excitation control for multi-machine power systems

TL;DR: In this article, a decentralized nonlinear excitation controller based on a nonlinear optimal predictive control theory for multi-machine power systems is proposed to enhance the transient stability of power systems.
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Disturbance detection, location and classification in phase space

TL;DR: In this paper, the authors proposed a scheme to detect, locate and classify the disturbances of power system signals in the phase space, where the normal part forms a regular shape and the disturbance forms a shape that deviates from the regular shape, and the two shapes jointly constitute the embedded signal.
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Robust observer-based nonlinear control of multimachine power systems

TL;DR: In this paper, a robust observer-based nonlinear controller (RONC) for excitation control of synchronous generators interconnected in a multimachine power system is presented, which is based on a feedback linearising control strategy for nonlinear systems and employs estimation of system states and perturbation.
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Switching system-based load frequency control for multi-area power system resilient to denial-of-service attacks

TL;DR: A switching system-based approach to the LFC scheme of a multi-area power system that is resilient to DoS attacks is proposed based on a dual-loop communication channel equipped with the designed proportional–integral (PI)-type controller.
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Perturbation Observer Based Multiloop Control for the DFIG-WT in Multimachine Power System

TL;DR: In this article, a perturbation observer-based multiloop control method for the integrated control of the doubly-fed induction generator-based wind turbine (DFIG-WT) in a multimachine power system is presented.