Study on LVRT of DFIG Based on Fuzzy-Neural D-STATCOM

Xueqin ZHENG; Xiaoxiong CHEN; Tung-Chin PAN

doi:10.1587/transfun.E100.A.2948

Study on LVRT of DFIG Based on Fuzzy-Neural D-STATCOM

Xueqin ZHENG, Xiaoxiong CHEN, Tung-Chin PAN

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This paper aims to improve the ability of low voltage ride through (LVRT) of doubly-fed induction generation (DFIG) under the asymmetric grid fault. The traditional rotor of the Crowbar device requires a large reactive support during the period of protection, which causes large fluctuations to the reactive power of the output grid while cut in and off for Crowbar. This case would influence the quality and efficiency of entire power system. In order to solve the fluctuation of reactive power and the stability of the wind power system, this paper proposes the coordinated control of the fuzzy-neural D-STATCOM and the rotor of the Crowbar. The simulation results show that the system has the performance of the rotor current with faster decay and faster dynamic response, high steady-state characteristic during the grid fault, which improve the ability of LVRT of DFIG.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.12 pp.2948-2955

Publication Date: 2017/12/01

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Online ISSN: 1745-1337

DOI: 10.1587/transfun.E100.A.2948

Type of Manuscript: PAPER

Category: Systems and Control

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Xueqin ZHENG, Xiaoxiong CHEN, Tung-Chin PAN, "Study on LVRT of DFIG Based on Fuzzy-Neural D-STATCOM" in IEICE TRANSACTIONS on Fundamentals, vol. E100-A, no. 12, pp. 2948-2955, December 2017, doi: 10.1587/transfun.E100.A.2948.
Abstract: This paper aims to improve the ability of low voltage ride through (LVRT) of doubly-fed induction generation (DFIG) under the asymmetric grid fault. The traditional rotor of the Crowbar device requires a large reactive support during the period of protection, which causes large fluctuations to the reactive power of the output grid while cut in and off for Crowbar. This case would influence the quality and efficiency of entire power system. In order to solve the fluctuation of reactive power and the stability of the wind power system, this paper proposes the coordinated control of the fuzzy-neural D-STATCOM and the rotor of the Crowbar. The simulation results show that the system has the performance of the rotor current with faster decay and faster dynamic response, high steady-state characteristic during the grid fault, which improve the ability of LVRT of DFIG.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2948/_p

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@ARTICLE{e100-a_12_2948,
author={Xueqin ZHENG, Xiaoxiong CHEN, Tung-Chin PAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Study on LVRT of DFIG Based on Fuzzy-Neural D-STATCOM},
year={2017},
volume={E100-A},
number={12},
pages={2948-2955},
abstract={This paper aims to improve the ability of low voltage ride through (LVRT) of doubly-fed induction generation (DFIG) under the asymmetric grid fault. The traditional rotor of the Crowbar device requires a large reactive support during the period of protection, which causes large fluctuations to the reactive power of the output grid while cut in and off for Crowbar. This case would influence the quality and efficiency of entire power system. In order to solve the fluctuation of reactive power and the stability of the wind power system, this paper proposes the coordinated control of the fuzzy-neural D-STATCOM and the rotor of the Crowbar. The simulation results show that the system has the performance of the rotor current with faster decay and faster dynamic response, high steady-state characteristic during the grid fault, which improve the ability of LVRT of DFIG.},
keywords={},
doi={10.1587/transfun.E100.A.2948},
ISSN={1745-1337},
month={December},}

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TY - JOUR
TI - Study on LVRT of DFIG Based on Fuzzy-Neural D-STATCOM
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2948
EP - 2955
AU - Xueqin ZHENG
AU - Xiaoxiong CHEN
AU - Tung-Chin PAN
PY - 2017
DO - 10.1587/transfun.E100.A.2948
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2017
AB - This paper aims to improve the ability of low voltage ride through (LVRT) of doubly-fed induction generation (DFIG) under the asymmetric grid fault. The traditional rotor of the Crowbar device requires a large reactive support during the period of protection, which causes large fluctuations to the reactive power of the output grid while cut in and off for Crowbar. This case would influence the quality and efficiency of entire power system. In order to solve the fluctuation of reactive power and the stability of the wind power system, this paper proposes the coordinated control of the fuzzy-neural D-STATCOM and the rotor of the Crowbar. The simulation results show that the system has the performance of the rotor current with faster decay and faster dynamic response, high steady-state characteristic during the grid fault, which improve the ability of LVRT of DFIG.
ER -