Open AccessPerturbation compensation‐based non‐linear adaptive control of ESS‐DVR for the LVRT capability improvement of wind farms
Author(s) -
Yan Linfang,
Chen Xia,
Zhou Xin,
Sun Haishun,
Jiang Lin
Publication year - 2018
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2017.0839
Subject(s) - low voltage ride through , control theory (sociology) , wind power , computer science , grid , voltage , ac power , control engineering , engineering , control (management) , mathematics , electrical engineering , geometry , artificial intelligence
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.