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Development and performance analysis of a novel multiphase doubly-fed induction generator

Roland Ryndzionek Krzysztof Blecharz Filip Kutt Michał Michna Grzegorz Kostro
Archives of Electrical Engineering | 2022 | vol. 71 | No 4 | 1003-1015 | DOI: 10.24425/aee.2022.142121
Keywords doubly-fed induction generator induction generator multiphase machine wind power generation
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Abstract

This paper presents the research into the design and performance analysis of a novel five-phase doubly-fed induction generator (DFIG). The designed DFIG is developed based on standard induction motor components and equipped with a five-phase rotor winding supplied from the five-phase inverter. This approach allows the machine to be both efficient and reliable due to the ability of the five-phase rotor winding to operate during single or dual-phase failure. The paper presents the newly designed DFIG validation and verification based on the finite element analysis (FEA) and laboratory tests.
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Authors and Affiliations

Roland Ryndzionek
1
ORCID: ORCID
Krzysztof Blecharz
1
ORCID: ORCID
Filip Kutt
1
ORCID: ORCID
Michał Michna
1
ORCID: ORCID
Grzegorz Kostro
1
ORCID: ORCID
  1. Gdansk University of Technology, Faculty of Electrical and Control Engineering, Gabriela Narutowicza str. 11/12, 80-233 Gdansk, Poland

Fault detection for DFIG based on sliding mode observer of new reaching law

RuiQi Li Wenxin Yu JunNian Wang Yang Lu Dan Jiang GuoLiang Zhong ZuanBo Zhou
Bulletin of the Polish Academy of Sciences Technical Sciences | 2021 | 69 | 3 | e137389 | DOI: 10.24425/bpasts.2021.137389
Keywords fault detection doubly-fed induction generator sliding mode observer new reaching law
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Abstract

For fault detection of doubly-fed induction generator (DFIG), in this paper, a method of sliding mode observer (SMO) based on a new reaching law (NRL) is proposed. The SMO based on the NRL (NRL- SMO) theoretically eliminates system chatter caused by the reaching law and can be switched in time with system interference in terms of robustness and smoothness. In addition, the sliding mode control law is used as the index of fault detection. Firstly, this paper gives the NRL with the theoretically analyzes. Secondly, according to the mathematical model of DFIG, NRL-SMO is designed, and its analysis of stability and robustness are carried out. Then this paper describes how to choose the optimal parameters of the NRL-SMO. Finally, three common wind turbine system faults are given, which are DFIG inter-turn stator fault, grid voltage drop fault, and rotor current sensor fault. The simulation models of the DFIG under different faults is established. The simulation results prove that the superiority of the method of NRL-SMO in state tracking and the feasibility of fault detection.
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Bibliography

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  2.  A. Stefani, A. Yazidi, C. Rossi, F. Filippetti, D. Casadei, and G.A. Capolino, “Doubly fed induction machines diagnosis based on signature analysis of rotor modulating signals”, IEEE Trans. Ind. Appl. 44(6), 1711‒1721(2008).
  3.  D. Shah, S. Nandi, and P. Neti, “Stator-interturn-fault detection of doubly fed induction generators using rotor-current and search-coil- voltage signature analysis”, IEEE Trans. Ind. Appl. 45(5), 1831‒1842 (2009).
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  6.  M.B. Abadi et al., “Detection of stator and rotor faults in a DFIG based on the stator reactive power analysis”, in IECON 2014‒40th Annual Conference of the IEEE Industrial Electronics Society 2014 pp. 2037‒2043.
  7.  S. He, X. Shen, and Z. Jiang, “Detection and Location of Stator Winding Interturn Fault at Different Slots of DFIG”, IEEE Access 7, 89342‒89353 (2019).
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Authors and Affiliations

RuiQi Li
1 2
Wenxin Yu
1 2
JunNian Wang
3 2
Yang Lu
1 2
Dan Jiang
1 2
GuoLiang Zhong
1 2
ZuanBo Zhou
1 2
  1. School of Information and Electrical Engineering, Hunan University of Science and Technology, Hunan Pro., Xiangtan,411201, China
  2. Key Laboratory of Knowledge Processing Networked Manufacturing, Hunan University of Science and Technology, Hunan Pro., Xiangtan,411201, China
  3. School of Physics and Electronics, Hunan University of Science and Technology, Hunan Pro., Xiangtan,411201, China

A new fuzzy design for switching gain adaptation of sliding mode controller for a wind energy conversion system using a doubly fed induction generator

Mohamed Horch Abdelkarim Chemidi Lotfi Baghli Sara Kadi
Archives of Electrical Engineering | 2023 | vol. 72 | No 1 | 273-291 | DOI: 10.24425/aee.2023.143702
Keywords chattering phenomenon doubly fed induction generator fuzzy logic gain adaptation sliding mode control vector control wind energy conversion systems
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Abstract

The paper proposes a newrobust fuzzy gain adaptation of the sliding mode (SMC) power control strategy for the wind energy conversion system (WECS), based on a doubly fed induction generator (DFIG), to maximize the power extracted from the wind turbine (WT). The sliding mode controller can deal with any wind speed, ingrained nonlinearities in the system, external disturbances and model uncertainties, yet the chattering phenomenon that characterizes classical SMC can be destructive. This problem is suitably lessened by adopting adaptive fuzzy-SMC. For this proposed approach, the adaptive switching gains are adjusted by a supervisory fuzzy logic system, so the chattering impact is avoided. Moreover, the vector control of the DFIG as well as the presented one have been used to achieve the control of reactive and active power of the WECS to make the wind turbine adaptable to diverse constraints. Several numerical simulations are performed to assess the performance of the proposed control scheme. The results show robustness against parameter variations, excellent response characteristics with a reduced chattering phenomenon as compared with classical SMC.
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Authors and Affiliations

Mohamed Horch
1
ORCID: ORCID
Abdelkarim Chemidi
2
ORCID: ORCID
Lotfi Baghli
3
ORCID: ORCID
Sara Kadi
4
ORCID: ORCID
  1. Laboratoire d’Automatique de Tlemcen (LAT), National School of Electrical and Energetic Engineering of Oran, Oran 31000, Algeria
  2. Manufacturing Engineering Laboratory of Tlemcen, Hight School of Applied Sciences, Tlemcen 13000, Algeria
  3. Laboratoire d’Automatique de Tlemcen (LAT) Université de Lorraine GREEN, EA 4366F-54500, Vandoeuvre-lès-Nancy, France
  4. Laboratory of Power Equipment Characterization and Diagnosis, University of Science and Technology Houari Boumediene, Algiers 16000, Algeria

Subsynchronous oscillation and its mitigation of VSC-MTDC with doubly-fed induction generator-based wind farm integration

Miaohong Su Haiying Dong Kaiqi Liu Weiwei Zou
Archives of Electrical Engineering | 2021 | vol. 70 | No 1 | 53-72 | DOI: 10.24425/aee.2021.136052
Keywords doubly-fed induction generator eigenvalue analysis multi-channel variable parameter subsynchronous damping controller subsynchronous oscillation voltage source converter based multi-terminal direct current transmission system
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Abstract

Wind power integration through the voltage source converter-based high-voltage direct current (VSC-HVDC) system will be a potential solution for delivering large-scale wind power to the “Three-North Regions” of China. However, the interaction between the doubly-fed induction generator (DFIG) and VSC-HVDC system may cause the risk of subsynchronous oscillation (SSO). This paper establishes a small-signal model of the VSC based multi-terminal direct current (VSC-MTDC) system with new energy access for the problem, and the influencing factors causing SSO are analyzed based on the eigenvalue analysis method. The theoretical analysis results show that the SSO in the system is related to the wind farm operating conditions, the rotor-side controller (RSC) of the DFIG and the interaction of the controller in the VSC-MTDC system. Then, the phase lag characteristic is obtained based on the signal test method, and a multi-channel variable-parameter subsynchronous damping controller (SSDC) is designed via selecting reasonable parameters. Finally, the correctness of the theoretical analysis and the effectiveness of the multi-channel variable-parameter SSDC are verified based on time-domain simulation.
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Bibliography

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Authors and Affiliations

Miaohong Su
1
ORCID: ORCID
Haiying Dong
1 2
Kaiqi Liu
1
Weiwei Zou
1
  1. School of Automatic and Electrical Engineering, Lanzhou Jiaotong University, China
  2. School of New Energy and Power Engineering, Lanzhou Jiaotong University, China

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