A SFOC-based scheme with PI-ANN controller to regulation of output powers and reduction of current harmonics for DFIG under unbalanced voltage dips

Hai Nguyen-Thanh, Cuong Vo-Viet, Kenko Uchida, Nguyen Gia Minh Thao

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper presents a newly modified control scheme using artificial neural network (ANN) for doubly fed induction generator (DFIG) connected with a wind turbine under the unbalance of three-phase grid voltages. In detail, the proposed scheme is based on the stator flux oriented control (SFOC), and it consists of a Sequence Component controller (SCC) and a unique PI with ANN (PI-ANN) hybrid controller. The main objectives of the suggested scheme are to regulate independently the output active and reactive powers of DFIG and to diminish significantly harmonics in the rotor current during the unbalanced grid voltage dips. Numerical simulations, including considerations on sudden changes of reference values for the powers and the random alteration of wind speed, are performed in MATLAB to evaluate effectiveness of the proposed scheme. Furthermore, detailed comparisons between simulation results under the unbalanced voltage dips, obtained with the traditional PI method, PI with fuzzy logic (PI-F) hybrid technique and suggested PI-ANN scheme, also are illustrated to validate the salient performance of the presented control structure.

    Original languageEnglish
    Title of host publication2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages452-459
    Number of pages8
    ISBN (Electronic)9784907764500
    DOIs
    Publication statusPublished - 2016 Nov 18
    Event55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016 - Tsukuba, Japan
    Duration: 2016 Sep 202016 Sep 23

    Other

    Other55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016
    CountryJapan
    CityTsukuba
    Period16/9/2016/9/23

    Fingerprint

    Asynchronous generators
    stators
    Stators
    Proof by induction
    controllers
    induction
    generators
    Harmonic
    Voltage
    Generator
    Fluxes
    Controller
    harmonics
    Controllers
    output
    Output
    Electric potential
    electric potential
    grids
    Neural networks

    Keywords

    • Artificial neural network
    • grid-connected DFIG
    • PI controller
    • SFOC
    • unbalanced voltage dips

    ASJC Scopus subject areas

    • Control and Optimization
    • Instrumentation
    • Control and Systems Engineering

    Cite this

    Nguyen-Thanh, H., Vo-Viet, C., Uchida, K., & Thao, N. G. M. (2016). A SFOC-based scheme with PI-ANN controller to regulation of output powers and reduction of current harmonics for DFIG under unbalanced voltage dips. In 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016 (pp. 452-459). [7749248] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SICE.2016.7749248

    A SFOC-based scheme with PI-ANN controller to regulation of output powers and reduction of current harmonics for DFIG under unbalanced voltage dips. / Nguyen-Thanh, Hai; Vo-Viet, Cuong; Uchida, Kenko; Thao, Nguyen Gia Minh.

    2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 452-459 7749248.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Nguyen-Thanh, H, Vo-Viet, C, Uchida, K & Thao, NGM 2016, A SFOC-based scheme with PI-ANN controller to regulation of output powers and reduction of current harmonics for DFIG under unbalanced voltage dips. in 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016., 7749248, Institute of Electrical and Electronics Engineers Inc., pp. 452-459, 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016, Tsukuba, Japan, 16/9/20. https://doi.org/10.1109/SICE.2016.7749248
    Nguyen-Thanh H, Vo-Viet C, Uchida K, Thao NGM. A SFOC-based scheme with PI-ANN controller to regulation of output powers and reduction of current harmonics for DFIG under unbalanced voltage dips. In 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 452-459. 7749248 https://doi.org/10.1109/SICE.2016.7749248
    Nguyen-Thanh, Hai ; Vo-Viet, Cuong ; Uchida, Kenko ; Thao, Nguyen Gia Minh. / A SFOC-based scheme with PI-ANN controller to regulation of output powers and reduction of current harmonics for DFIG under unbalanced voltage dips. 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 452-459
    @inproceedings{1f6396044031459099248753b2fc3097,
    title = "A SFOC-based scheme with PI-ANN controller to regulation of output powers and reduction of current harmonics for DFIG under unbalanced voltage dips",
    abstract = "This paper presents a newly modified control scheme using artificial neural network (ANN) for doubly fed induction generator (DFIG) connected with a wind turbine under the unbalance of three-phase grid voltages. In detail, the proposed scheme is based on the stator flux oriented control (SFOC), and it consists of a Sequence Component controller (SCC) and a unique PI with ANN (PI-ANN) hybrid controller. The main objectives of the suggested scheme are to regulate independently the output active and reactive powers of DFIG and to diminish significantly harmonics in the rotor current during the unbalanced grid voltage dips. Numerical simulations, including considerations on sudden changes of reference values for the powers and the random alteration of wind speed, are performed in MATLAB to evaluate effectiveness of the proposed scheme. Furthermore, detailed comparisons between simulation results under the unbalanced voltage dips, obtained with the traditional PI method, PI with fuzzy logic (PI-F) hybrid technique and suggested PI-ANN scheme, also are illustrated to validate the salient performance of the presented control structure.",
    keywords = "Artificial neural network, grid-connected DFIG, PI controller, SFOC, unbalanced voltage dips",
    author = "Hai Nguyen-Thanh and Cuong Vo-Viet and Kenko Uchida and Thao, {Nguyen Gia Minh}",
    year = "2016",
    month = "11",
    day = "18",
    doi = "10.1109/SICE.2016.7749248",
    language = "English",
    pages = "452--459",
    booktitle = "2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",
    address = "United States",

    }

    TY - GEN

    T1 - A SFOC-based scheme with PI-ANN controller to regulation of output powers and reduction of current harmonics for DFIG under unbalanced voltage dips

    AU - Nguyen-Thanh, Hai

    AU - Vo-Viet, Cuong

    AU - Uchida, Kenko

    AU - Thao, Nguyen Gia Minh

    PY - 2016/11/18

    Y1 - 2016/11/18

    N2 - This paper presents a newly modified control scheme using artificial neural network (ANN) for doubly fed induction generator (DFIG) connected with a wind turbine under the unbalance of three-phase grid voltages. In detail, the proposed scheme is based on the stator flux oriented control (SFOC), and it consists of a Sequence Component controller (SCC) and a unique PI with ANN (PI-ANN) hybrid controller. The main objectives of the suggested scheme are to regulate independently the output active and reactive powers of DFIG and to diminish significantly harmonics in the rotor current during the unbalanced grid voltage dips. Numerical simulations, including considerations on sudden changes of reference values for the powers and the random alteration of wind speed, are performed in MATLAB to evaluate effectiveness of the proposed scheme. Furthermore, detailed comparisons between simulation results under the unbalanced voltage dips, obtained with the traditional PI method, PI with fuzzy logic (PI-F) hybrid technique and suggested PI-ANN scheme, also are illustrated to validate the salient performance of the presented control structure.

    AB - This paper presents a newly modified control scheme using artificial neural network (ANN) for doubly fed induction generator (DFIG) connected with a wind turbine under the unbalance of three-phase grid voltages. In detail, the proposed scheme is based on the stator flux oriented control (SFOC), and it consists of a Sequence Component controller (SCC) and a unique PI with ANN (PI-ANN) hybrid controller. The main objectives of the suggested scheme are to regulate independently the output active and reactive powers of DFIG and to diminish significantly harmonics in the rotor current during the unbalanced grid voltage dips. Numerical simulations, including considerations on sudden changes of reference values for the powers and the random alteration of wind speed, are performed in MATLAB to evaluate effectiveness of the proposed scheme. Furthermore, detailed comparisons between simulation results under the unbalanced voltage dips, obtained with the traditional PI method, PI with fuzzy logic (PI-F) hybrid technique and suggested PI-ANN scheme, also are illustrated to validate the salient performance of the presented control structure.

    KW - Artificial neural network

    KW - grid-connected DFIG

    KW - PI controller

    KW - SFOC

    KW - unbalanced voltage dips

    UR - http://www.scopus.com/inward/record.url?scp=85008260066&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85008260066&partnerID=8YFLogxK

    U2 - 10.1109/SICE.2016.7749248

    DO - 10.1109/SICE.2016.7749248

    M3 - Conference contribution

    AN - SCOPUS:85008260066

    SP - 452

    EP - 459

    BT - 2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016

    PB - Institute of Electrical and Electronics Engineers Inc.

    ER -