• Product
  • Suppliers
  • Manufacturers
  • Solutions
  • Free tools
  • Knowledges
  • Experts
  • Communities
Search


Research on Excitation Frequency Converter for Variable Speed Constant Frequency Wind Turbines

RW Energy
13yrs + staff 30000+m² US$100,000,000+ China

1 Introduction
Wind energy is a renewable energy source with significant development potential. In recent years, wind power technology has garnered extensive attention from scholars worldwide. As a key direction for wind power development, variable-speed constant-frequency (VSCF) technology employs the doubly-fed wind power system as an optimized solution. In this system, the generator’s stator windings connect directly to the grid, while VSCF control is achieved by regulating the frequency, amplitude, phase, and phase sequence of the rotor winding power supply. Since the converter only transmits slip power, its capacity can be significantly reduced.

Currently, doubly-fed wind power systems primarily use AC/AC or AC/DC/AC converters. AC/AC converters have been largely replaced by voltage-source AC/DC/AC converters due to their high output harmonics, low input power factor, and excessive power devices. Although matrix converters have been explored for doubly-fed systems, their complex structure, high voltage endurance requirements, and non-decoupled input/output control limit their adoption in wind power applications.

This study develops a voltage-source AC/DC/AC doubly-fed wind power system controlled by dual DSPs. The grid-side converter adopts voltage-oriented vector control, and the rotor-side converter uses stator-flux-oriented vector control. Experiments confirm that the system supports bidirectional power flow, independent input/output power factor regulation, low harmonic distortion, stable wide-range operation, and high-quality power generation from unstable energy sources like wind.

2 System Configuration
As shown in Figure 1, the system comprises five parts:

  • Doubly-fed generator (wound-rotor induction generator)
  • Voltage-source AC/DC/AC bidirectional PWM converter (back-to-back three-phase rectifier/inverter using IPM modules)
  • Dual-DSP controller (fixed-point DSP TMS320LF2407A + floating-point DSP TMS320VC33)
  • Grid-connection protection device (rotor/stator contactors)
  • Virtual variable-speed wind turbine (DC motor + SIEMENS SIVOREG thyristor speed control system)

Key Details

  • Converter connection: Grid-side via three-phase inductors; rotor-side via slip rings/brushes to generator rotor windings.
  • Dual-DSP roles: LF2407A handles data exchange, PWM generation, and grid signals; VC33 executes core algorithms; dual-port RAM enables real-time data sharing; CPLD processes address decoding.
  • Grid protection: Upon faults, disconnect stator contactor and block PWM first; delay before opening rotor contactor.

3 Vector Control for Doubly-Fed Generator
3.1 Control Principles
In the synchronous rotating frame (d-axis aligned with stator flux), the doubly-fed generator model is:
usd=Rsisd+dψsddt−ωsψsq{u_{sd} = R_s i_{sd} + \frac{d\psi_{sd}}{dt} - \omega_s \psi_{sq}}usd​=Rs​isd​+dtdψsd​​−ωs​ψsq​
usq=Rsisq+dψsqdt+ωsψsd{u_{sq} = R_s i_{sq} + \frac{d\psi_{sq}}{dt} + \omega_s \psi_{sd}}usq​=Rs​isq​+dtdψsq​​+ωs​ψsd​
urd=Rrird+dψrddt−ωslipψrq{u_{rd} = R_r i_{rd} + \frac{d\psi_{rd}}{dt} - \omega_{\text{slip}} \psi_{rq}}urd​=Rr​ird​+dtdψrd​​−ωslip​ψrq​
urq=Rrirq+dψrqdt+ωslipψrd{u_{rq} = R_r i_{rq} + \frac{d\psi_{rq}}{dt} + \omega_{\text{slip}} \psi_{rd}}urq​=Rr​irq​+dtdψrq​​+ωslip​ψrd​

Flux equations:
ψsd=Lmims+Lsisd=Lmims{\psi_{sd} = L_m i_{ms} + L_s i_{sd} = L_m i_{ms}}ψsd​=Lm​ims​+Ls​isd​=Lm​ims​
ψsq=−Lmirq{\psi_{sq} = -L_m i_{rq}}ψsq​=−Lm​irq​
ψrd=Lrird+Lmisd{\psi_{rd} = L_r i_{rd} + L_m i_{sd}}ψrd​=Lr​ird​+Lm​isd​
ψrq=Lrirq+Lmisq{\psi_{rq} = L_r i_{rq} + L_m i_{sq}}ψrq​=Lr​irq​+Lm​isq​

Torque equation:
Te=−npLmimsirqLs{T_e = -\frac{n_p L_m i_{ms} i_{rq}}{L_s}}Te​=−Ls​np​Lm​ims​irq​​

Neglecting stator resistance voltage drop, stator flux satisfies:
ψsd≈usq/ωs,ψsq≈0{\psi_{sd} \approx u_{sq}/\omega_s, \quad \psi_{sq} \approx 0}ψsd​≈usq​/ωs​,ψsq​≈0

Control strategy:

  • Constant stator generalized excitation current imsi_{ms}ims​ → Electromagnetic torque Te∝irqT_e \propto i_{rq}Te​∝irq​
  • For unity power factor, excitation current fully supplied by rotor (ims=irdi_{ms} = i_{rd}ims​=ird​)
  • After feedforward decoupling compensation, regulate urdu_{rd}urd​ and urqu_{rq}urq​ to control rotor flux and torque, respectively.

3.2 Grid Control

  • Soft Grid-Connection:
    1. When wind speed reaches cut-in value, turbine drives generator to minimum speed.
    2. Activate converter to match stator voltage to grid (amplitude, phase, frequency).
    3. Automatic synchronization upon meeting grid-connection conditions.
  • Disconnection: Gradually unload to no-load state before disconnecting. Must operate within permitted speed range.

4 Grid-Side Rectifier Vector Control
In the two-phase synchronous rotating frame (d-axis aligned with phase-A voltage), the PWM rectifier model is:
ud=Ldiddt+Rid−ωsLiq+sdudc{u_d = L\frac{di_d}{dt} + R i_d - \omega_s L i_q + s_d u_{dc}}ud​=Ldtdid​​+Rid​−ωs​Liq​+sd​udc​
uq=Ldiqdt+Riq+ωsLid+squdc{u_q = L\frac{di_q}{dt} + R i_q + \omega_s L i_d + s_q u_{dc}}uq​=Ldtdiq​​+Riq​+ωs​Lid​+sq​udc​
Cdudcdt=32(sdid+sqiq)−iload{C\frac{du_{dc}}{dt} = \frac{3}{2}(s_d i_d + s_q i_q) - i_{\text{load}}}Cdtdudc​​=23​(sd​id​+sq​iq​)−iload​

Power equations:
P=udid,Q=udiq{P = u_d i_d, \quad Q = u_d i_q}P=ud​id​,Q=ud​iq​

Control logic:

  • Constant grid voltage → Regulate idi_did​ to control active power; iqi_qiq​ for reactive power.
  • Control equations with voltage compensation:
    ud∗=(R+Lddt)id−ωsLiq+ud{u_d^* = (R + L\frac{d}{dt})i_d - \omega_s L i_q + u_d}ud∗​=(R+Ldtd​)id​−ωs​Liq​+ud​
    uq∗=(R+Lddt)iq+ωsLid{u_q^* = (R + L\frac{d}{dt})i_q + \omega_s L i_d}uq∗​=(R+Ldtd​)iq​+ωs​Lid​

5 Experimental Results
Key Verifications:

  • Reliable soft grid-connection across a wide speed range;
  • Independent power factor regulation (stator/grid side both reach unity);
  • Bidirectional power flow capability of AC/DC/AC converter meets generation demands.

6 Conclusion
This study develops a dual-DSP-based voltage-source AC/DC/AC doubly-fed wind power system. Combined with grid-side voltage-oriented and rotor-side stator-flux-oriented vector control, experiments demonstrate:

  1. The system achieves bidirectional power flow and independent input/output power factor regulation;
  2. Low harmonics and high power factor ensure power quality;
  3. Soft grid-connection/disconnection reduces mechanical/electrical stress;
  4. Applicability to megawatt-class large-scale wind power installations.
08/21/2025
Recommended
Smart Meter Solution: Analysis of Core Functions and Application Scenarios
I. Solution OverviewAs a core terminal device for grid digitalization, smart meters integrate high-precision metering, bidirectional communication, and intelligent analysis to provide real-time data support for power systems.This solution, developed in accordance with international and domestic standards and integrated with advanced communication technologies, builds a secure and reliable smart metering system. It is designed to meet diverse needs across residential, commercial, industrial, and
Beyond Metering: How Smart Meters Create Multidimensional Value for the Grid, Enterprises, and Households
Amid the digital transformation of power grids and the construction of new power systems, smart meters have evolved from traditional electricity metering tools into intelligent terminal nodes integrating metering, communication, control, and analytics. This solution provides an in-depth analysis of the core functions, technical pathways, and diverse applications of smart meters, offering comprehensive value reference for various users.​I. Core Technological Foundation: High-Precision Metering an
Smart Meter Full-Scope Solution: Precise Cost Reduction and Efficiency Enhancement, Empowering Energy Digital Upgrade
Overview​With the deep integration of energy transition and the digital economy, traditional electricity management models can no longer meet the demands for precision, intelligence, and low-carbon development. This solution leverages advanced smart meters and IoT technologies to build a smart electricity management system covering various scenarios such as residential, commercial and industrial, distributed energy, and electric vehicle charging. It aims to improve energy efficiency, ensure safe
Big Data Analysis of Smart Meters: Value, Benefits, and Application Prospects
I.Introduction​​Background of Energy and Smart Grids​Since the 21st century, the increasing depletion of non-renewable energy sources and worsening ecological environmental pollution have made energy issues a critical constraint on the development of human society. As an efficient and clean secondary energy source, electricity holds a significant position in the energy structure. To meet the growing demand for electricity and adapt to the diverse requirements of power development, building a saf
Seed Inquiry
Download
Get the IEE Business Application
Use the IEE-Business app to find equipment, obtain solutions, connect with experts, and participate in industry collaboration anytime, anywhere—fully supporting the development of your power projects and business.