Robust Delay-Dependent Load Frequency Control of Wind Power System Based on a Novel Reconstructed Model

Jin, L, He, Y, Zhang, CK, Shangguan, XC, Jiang, L ORCID: 0000-0001-6531-2791 and Wu, M (2021) Robust Delay-Dependent Load Frequency Control of Wind Power System Based on a Novel Reconstructed Model. IEEE Transactions on Cybernetics, 52 (8). pp. 7825-7836.

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Official URL: http://dx.doi.org/10.1109/tcyb.2021.3051160

Abstract

IEEE This article presents a novel reconstructed model for the delayed load frequency control (LFC) schemes considering wind power, which aims to improve the computational efficiency for PID controllers while retaining their dynamic performance. Via fully exploiting system states influenced by time delays directly, this novel reconstructed method is proposed with a controller isolated. Hence, when the PID controllers are unknown, the stability criterion based on this model can resolve controller gains with less time consumed. For given PID gains, this model can be employed to establish criteria for stability analysis, which can realize the tradeoff between the calculation accuracy and efficiency. The case study is first based on a two-area traditional LFC system to validate the merits of a novel reconstructed model, including accurately estimating the influence of time delay on system frequency stability with increased computational capability. Then, under traditional and deregulated environments, case studies are carried out on the two-area and three-area schemes, respectively. Through the novel reconstructed model, the efficiency of obtaining controller parameters is highly improved while their robustness against the random wind power, tie-line power changes, inertial reductions, and time delays remains almost unchanged.

Item Type:	Article
Uncontrolled Keywords:	Power system stability, Delay effects, Computational modeling, Wind power generation, Delays, Geology, Stability criteria, Communication delays, controller design, load frequency control (LFC), model reconstruction, stability analysis
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	22 Mar 2021 10:26
Last Modified:	18 Jan 2023 22:55
DOI:	10.1109/TCYB.2021.3051160
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3117800