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DFIG based Wind Turbine Emulator 

The DFIG Wind Turbine Emulator by Ecosense is an advanced research and training platform designed to replicate real wind turbine behaviour in a controlled laboratory environment. Built around a 3 kW DFIG wind turbine generator architecture, the system enables real-time hardware-level learning, testing, and validation of wind energy control strategies without the uncertainties and cost associated with field deployment. This platform allows universities and research institutions to experiment with DFIG wind turbine operation, torque–speed dynamics, grid synchronization, and renewable energy control algorithms within a safe indoor laboratory setup. From wind turbine modelling to microgrid integration studies, the system enables detailed exploration of wind power generation and advanced control techniques. The emulator provides a complete DFIG wind turbine experimental environment, allowing researchers to evaluate Maximum Power Point Tracking (MPPT) strategies, converter control algorithms, and power system interaction under simulated wind conditions. 

Key Features of DFIG Wind Turbine Emulator

  • Real-Time DFIG Wind Turbine Emulation: Accurately replicates torque–speed and power–speed characteristics of a DFIG wind turbine using mathematical turbine models under varying wind speed and pitch angle conditions.
  • Doubly Fed Induction Generator Architecture: Industrial-grade DFIG wind turbine generator with rotor-side and grid-side converters, enabling detailed study of stator–rotor power flow and partial-scale power conversion.
  • FPGA-Based Programmable Control Platform: High-speed control card with ADC inputs and PWM outputs supporting custom control algorithm development, converter tuning, and advanced wind energy research.
  • Rotor Side and Grid Side Converter Architecture: Back-to-back three-phase inverters provide independent control of active and reactive power while maintaining DC-link voltage stability.
  • Multi-Mode Wind Profile Simulation: Operates in Manual Mode, Table Mode, and CSV-based Simulation Mode, enabling testing of custom wind profiles or real-world wind datasets.
  • Advanced MPPT and Control Strategy Testing: Supports implementation of MPPT algorithms such as Hill Climb Search and enables development of new control strategies for DFIG wind turbine operation.
  • Microgrid and Smart Grid Integration: DC link interface allows integration with additional renewable sources such as photovoltaic systems, enabling hybrid renewable energy and microgrid research.
  • Comprehensive Measurement and Data Logging: Equipped with dual power analysers, voltage and current sensors, tachometer feedback, and LabVIEW-based GUI for real-time monitoring and CSV-based data export.
  • Indoor Research and Training Platform: Provides a controlled laboratory environment for studying DFIG wind turbine behavior without dependence on natural wind conditions, ensuring safety and repeatability.
Ecosense

Learning Modules 

Ecosense

Wind Turbine Modelling and Characteristics

  • Cp–λ curve plotting and performance analysis
  • Torque–speed and power–speed characteristic evaluation
  • Study of pitch angle variation effects on turbine output
  • Differential equation-based wind turbine modelling

DFIG Wind Turbine Control and Power Electronics

  • Rotor Side Converter (RSC) control strategies
  • Grid Side Converter (GSC) DC-link voltage regulation
  • Reactive power control and unity power factor operation
  • Implementation of MPPT algorithms such as Hill Climb Search for DFIG wind turbine systems

Grid and Microgrid Integration Studies

  • Grid synchronization techniques for wind energy systems
  • Power quality and harmonic analysis
  • Anti-islanding protection implementation
  • Integration of DFIG wind turbine systems with microgrid and smart grid platforms

Working Principle

  • Wind Turbine Mathematical Model: The system calculates the reference torque of the DFIG wind turbine based on selected wind speed and pitch angle inputs provided through the graphical interface.
  • Prime Mover Emulation: A 6 HP DC motor acts as the prime mover and is controlled by a DC drive to replicate the calculated turbine speed in real time.
  • Generator Coupling: The DC motor is mechanically coupled to a 3 kW Doubly Fed Induction Generator, enabling realistic emulation of turbine–generator dynamics.
  • Rotor Side Converter Control: The Rotor Side Converter regulates rotor currents to independently control electromagnetic torque, active power output, and reactive power flow.
  • Grid Side Converter Control: The Grid Side Converter maintains stable DC-link voltage while managing power exchange between the DFIG wind turbine emulator and the grid.
  • Real-Time Feedback and Control: Voltage, current, speed, and power parameters are continuously monitored to provide closed-loop control and accurate tracking of turbine performance characteristics.
  • Wind Profile Simulation: Multiple wind simulation modes (Manual, Table, and CSV-based profiles) allow dynamic testing under constant, step-change, or real-world wind conditions.
  • Data Visualization and Logging: A LabVIEW-based interface displays Cp–λ curves, electrical parameters, and system performance metrics while logging experimental data for further research and analysis.
Ecosense

Technical Specifications 

Ecosense

Machine and Drive System

*specifications can be customized as per user

ComponentSpecifications
DC Motor6 HP, 220V DC (Field & Armature), 1500 RPM
DC Drive230V input, 200V output, 30A, 10 kHz switching
GeneratorDFIG, 3 kVA, 400V Stator, 200V Rotor, 50 Hz, 1200 RPM
Encoder24V DC input, 360 PPR

Power Electronics & Conversion

*specifications can be customized as per user

ComponentSpecifications
Rotor Side Converter3-Leg Inverter, 150V DC input, 25A, 10 kHz
Grid Side Converter3-Leg Inverter, 150V DC input, 50 Hz
Isolation TransformerDelta-Star, 200V/400V, 3 kVA
DC Link CapacitorsUp to 3300µF, 450V
GSC Filter Inductor3mH, 15A
Rotor Side Filter3mH, 6A


Control, Protection & Software

*specifications can be customized as per user

ComponentSpecifications
Control CardFPGA-based with ADC & PWM ports
SoftwareLabVIEW GUI with data logging
CommunicationEthernet
ProtectionMCBs (AC/DC), Overcurrent protection, Relays


Real world impact across Campuses

Recent Installations

Ecosense installed DFIG based Wind Turbine Emulator with PXI controller at IIT Madras

Ecosense installed DFIG based Wind Turbine Emulator with PXI controller at IIT Madras

May 5, 2022

IIT Madras is one of the most popular and best college for pursuing engineering. Department of Electrical Engineering, IIT Madras...
Ecosense installed Zonal DC Microgrid at IIT Roorkee

Ecosense installed Zonal DC Microgrid at IIT Roorkee

September 12, 2024

Ecosense has installed a Zonal DC Microgrid System in the Department of Electrical Engineering at IIT Roorkee.

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Frequently Asked Questions

The emulator replicates real wind turbine behavior in a controlled laboratory environment. It allows students and researchers to study torque-speed characteristics, power flow, MPPT techniques, and grid integration without depending on actual wind conditions or outdoor installations.

A Doubly Fed Induction Generator enables independent control of active and reactive power using partial-scale converters. This makes it ideal for studying modern wind energy systems, variable-speed operation, improved efficiency, and advanced grid support functionalities. We also have Wind Turbine Emulators with PMSG and Induction Generator.

Yes. The FPGA-based control platform allows users to modify and deploy custom control algorithms. Researchers can experiment with MPPT strategies, converter control methods, reactive power regulation, and advanced smart grid control techniques.

Yes. The emulator supports implementation and testing of Maximum Power Point Tracking methods such as Hill Climb Search. Users can also develop and validate new MPPT algorithms under different wind speed and loading conditions.

Yes. The system operates in Manual, Table, and CSV-based Simulation modes. Researchers can upload real wind datasets or create custom wind profiles, enabling realistic and repeatable laboratory testing scenarios.

Yes. The DC link architecture allows integration of additional renewable sources like solar PV. This enables hybrid system experimentation, microgrid studies, DC-link control research, and smart grid interaction analysis.

The system includes a LabVIEW-based graphical user interface with real-time visualization and adjustable sampling rates. Experimental data can be stored in CSV or image format for further analysis, reporting, and academic research documentation.

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