DFIG HVDC based wind farms system profile improvement under grid faults

In this paper, Wind turbine driven Doubly-Fed Induction Generator (DFIG) is connected to a High Voltage DC grid (HVDC) and the system performance is observed under grid asymmetrical single Line-Ground (LG) faults. The DFIG converters control outer control loops are used in the lookup table-based dem...

Full description

Bibliographic Details
Published in:Proceedings - 2022 International Conference on Computing, Communication and Power Technology, IC3P 2022
Main Author: Hannoon N.M.S.; Chowdary P.S.R.; Ananth D.V.N.; Chakravarthy V.V.S.S.S.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133438496&doi=10.1109%2fIC3P52835.2022.00021&partnerID=40&md5=cbcafaa02d1b356bffe4616e6c942a1d
Description
Summary:In this paper, Wind turbine driven Doubly-Fed Induction Generator (DFIG) is connected to a High Voltage DC grid (HVDC) and the system performance is observed under grid asymmetrical single Line-Ground (LG) faults. The DFIG converters control outer control loops are used in the lookup table-based demagnetization process to meet the active and reactive power flow under normal and abnormal conditions. The reactive power flow by the DFIG is adjusted to meet the stator terminal voltage change during the grid faults. Furthermore, using the DFIG's fast acting inner rotor and grid side converter (RSC and GSC) control loops With the flux demagnetization technique, effective performance enhancement is envisaged. Since the converters are rated only to 30% of the stator terminal, complete surge current and machine and grid parameters improvement is done With a STATCOM compensator. The overall system performance is observed With the proposed scheme Without and With STATCOM under MATLAB/ SIMULINK environment. The HVDC terminals voltage and current and the DFIG parameters like speed, torque and various terminal voltages and current are observed for the analysis. © 2022 IEEE.
ISSN:
DOI:10.1109/IC3P52835.2022.00021