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Study on a small‐signal analysis method for PMSG considering LVRT control and frequency regulation
Author(s) -
Xiao Fan,
Xia Yongjun,
Zhang Kanjun,
Li Hengxuan,
Chen Kun,
Li Peng
Publication year - 2022
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/gtd2.12429
Subject(s) - permanent magnet synchronous generator , fault (geology) , low voltage ride through , control theory (sociology) , wind power , computer science , grid , time domain , electric power system , power (physics) , ac power , engineering , control (management) , magnet , voltage , electrical engineering , physics , geometry , mathematics , quantum mechanics , artificial intelligence , seismology , computer vision , geology
In a high proportion of new energy grids or a 100% new energy source of power grid, the dynamic performance of PMSG under fault conditions is very important. However, the current small signal model lacks detailed and deep analysis of a permanent‐magnet synchronous generator (PMSG)‐based wind power generation under LVRT control. Here, a small signal model of a PMSG under pre‐fault, fault and after fault failure recovery stages are established. This paper employs linear analyses to characterize the dynamic performance of a PMSG‐based wind power generation system under LVRT control and practical generator characteristics. In particular, the conflict between frequency regulation and LVRT is discussed based on the constructed model. On this basis, the impact of dc‐link bandwidth on the system performance during failure recovery stage is discussed, and the active damping method is analysed to improve the performance of PMSG during failure and failure recovery stages. Finally, time‐domain simulations are utilized to verify the analyses and models discussed. The research results in this paper are helpful to promote and improve the performance of PMSG during LVRT conditions.

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