Perturbation compensation-based non-linear adaptive control of ESS-DVR for the LVRT capability improvement of wind farms

Yan, Linfang, Chen, Xia, Zhou, Xin, Sun, Haishun and Jiang, Lin ORCID: 0000-0001-6531-2791 (2018) Perturbation compensation-based non-linear adaptive control of ESS-DVR for the LVRT capability improvement of wind farms IET RENEWABLE POWER GENERATION, 12 (13). pp. 1500-1507. ISSN 1752-1416, 1752-1424

Text Without IET.pdf - Author Accepted Manuscript Download (1MB)

Abstract

This study presents a non-linear adaptive control (NAC) for the energy storage system (ESS) embedded dynamic voltage restorer (DVR) in enhancing the low-voltage ride through (LVRT) capability of wind farms. The proposed NAC features a perturbation observer to estimate and then compensate the real perturbation of the whole system, including parameter uncertainties, measurement noise, and external disturbances such as different grid faults and intermittent wind power. It can achieve an adaptive and robust control without requiring accurate system model and full-state measurements. This control is then applied to the ESS embedded DVR (ESS-DVR) system, in which the ESS can store the blocked wind power for potential power fluctuation suppression. Simulation studies have verified that the proposed control for ESS-DVR can effectively enhance the LVRT capability of wind farms installed with different types of WTGs under different operating conditions. Moreover, its superiority has also been demonstrated by comparing with fixed gains-based conventional vector control and accurate system model-based feedback linearising control.

Item Type:	Article
Uncontrolled Keywords:	adaptive control, nonlinear control systems, power system restoration, wind power plants, power generation control, compensation, energy storage, observers, measurement errors, measurement uncertainty, power grids, power generation faults, embedded systems, perturbation compensation-based nonlinear adaptive control, LVRT capability improvement, wind farms, energy storage system, embedded dynamic voltage restorer, low-voltage ride through capability, perturbation observer, parameter uncertainties, measurement noise, external disturbances, grid faults, intermittent wind power, robust control, ESS embedded DVR system, power fluctuation suppression, fixed gains-based conventional vector control, system model-based feedback linearising control
Depositing User:	Symplectic Admin
Date Deposited:	14 Nov 2018 11:00
Last Modified:	16 Jun 2026 08:17
DOI:	10.1049/iet-rpg.2017.0839
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3028827
Disclaimer:	The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate.