Equivalent input disturbance-based load frequency control for smart grid with air conditioning loads

Jin, Li, He, Yong, Zhang, Chuan-Ke, Shangguan, Xing-Chen, Jiang, Lin ORCID: 0000-0001-6531-2791 and Wu, Min (2022) Equivalent input disturbance-based load frequency control for smart grid with air conditioning loads. SCIENCE CHINA-INFORMATION SCIENCES, 65 (2). 122205-.

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Official URL: http://dx.doi.org/10.1007/s11432-020-3120-0

Abstract

Integrating intermittent wind power into power systems results in low or zero inertia, threatening their frequency stability. To accommodate intermittent generations, the demand response (DR) is introduced, and air conditioning loads (ACs) account for an increasing proportion of all loads. The replacement of traditional generators with wind turbines and the ACs user uncertainties produce parameter uncertainties. This paper aims to construct an equivalent input disturbance (EID)-based load frequency control (LFC) strategy for the power system by considering wind power and ACs. First, an open-loop model is constructed for the LFC scheme with parameter uncertainties. Then, the parameter uncertainties and external disturbance are lumped into a fictitious disturbance, which is estimated using an EID estimator. By incorporating the estimation of disturbance into the control input, the disturbance-rejection performance is achieved. Next, the Lyapunov theory is used to derive the two linear-matrix-inequality-based asymptotic stability criteria. A design algorithm is developed for the EID-based LFC scheme by exploiting an overall performance evaluation index. Finally, simulation results for the single-area and two-area LFC schemes show that, compared with the existing approaches, the method presented realizes the better disturbance rejection and higher robustness against parameter uncertainties, wind power fluctuation, and tie-line power changes. Additionally, its robustness to time delays is verified.

Item Type:	Article
Uncontrolled Keywords:	equivalent input disturbance, load frequency control, parameter uncertainties, wind power, air conditioning loads
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	04 Mar 2022 10:27
Last Modified:	15 Mar 2024 04:52
DOI:	10.1007/s11432-020-3120-0
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3150098