e-journal

Nonlinear Model Predictive Control for DFIG-Based Wind Power Generation

---

Reliable control and optimal operation of the doubly fed induction generator (DFIG) is necessary to ensure high efficiency and high load-following capability in modern wind power plants. This is often difficult to achieve using conventional linear controllers, as wind power plants are nonlinear and contain many uncertainties. Furthermore, unbalanced conditions often exist on the power network, which can degrade DFIG system performance. Considering the nonlinear DFIG dynamics, this paper proposes a nonlinear modeling technique for DFIG, meanwhile taking into account unbalanced grid conditions. Then, a nonlinear model predictive controller is derived for power control of DFIG. The prediction is calculated based on the input-output feedback linearization (IOFL) scheme. The control is derived by optimization of an objective function that considers both economic and tracking factors under realistic constraints. The simulation results show that the proposed controller can effectively reduce wear
and tear of generating units under normal grid conditions, and reduce the rotor over-current under unbalanced grid conditions, thereby improving the ability of grid-connected wind turbines to
withstand grid voltage faults. Note to Practitioners—Wind energy has been developed extensively
during recent years, due to concerns about emissions from fossil fuel resources. Many new wind farms will employ wind turbines based on doubly-fed induction generators (DFIG), to realize variable-speed constant-frequency wind energy generation. The systems need to reduce wear and tear of generating units under
normal grid conditions, and reduce rotor over-current under unbalanced grid conditions to improve their ability to withstand grid voltage faults. Modeling such systems is the key issue, since the dynamics of DFIG under normal conditions and unbalanced conditions are quite different. This paper proposes a nonlinear modeling technique that considers both grid balanced and unbalanced conditions. A nonlinear model predictive controller is derived for power control of DFIG. Simulation results show the
effectiveness of the proposed nonlinear model predictive control technique.
Index Terms—Doubly fed induction generator, nonlinear model predictive control, power control, wind energy.

---

Ketersediaan

Tidak ada salinan data

Informasi Detail

Judul Seri

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

No. Panggil

-

Penerbit

New York : IEEE., 2014

Deskripsi Fisik

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, VOL. 11, NO. 4, OCTOBER 2014

Bahasa

English

ISBN/ISSN

1545-5955

Klasifikasi

-

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

VOL. 11, NO. 4, OCTOBER 2014

Subjek

TEKNIK

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Yuli/Agus

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar