DFIG Based Wind Energy Conversion System with Partial-Scale Converter | MATLAB Simulink Simulation
This video presents a Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS) implemented using MATLAB/Simulink, focusing on the operation of a partial-scale power electronic converter. The simulation explains how DFIG technology enables variable-speed wind turbine operation with reduced converter rating, improving efficiency and reducing system cost.
The model includes wind turbine aerodynamic modeling, DFIG electrical dynamics, rotor-side converter (RSC), grid-side converter (GSC), DC-link control, vector control strategy, and grid synchronization. The partial-scale converter (typically 25–30% rated power) controls rotor currents, enabling independent active and reactive power control under varying wind speeds.
Key results such as stator/rotor currents, active & reactive power, DC-link voltage, rotor speed, and grid voltage stability are analyzed. This project is highly suitable for final-year engineering projects, MTech/MS theses, PhD research, and IEEE journal-oriented studies in renewable energy and wind power systems.
🔧 Key Features
✅ DFIG-based Wind Energy Conversion System
✅ Partial-scale back-to-back converter modeling
✅ Rotor-side & grid-side converter control
✅ Vector control (dq-axis control)
✅ Active & reactive power regulation
✅ MATLAB/Simulink block-level implementation
✅ Variable-speed wind turbine operation
🎓 Who Should Watch?
Electrical & Power Engineering Students
Renewable Energy & Wind Power Researchers
MATLAB / Simulink Learners
Power Electronics & Control Engineers
Master’s & PhD Scholars
🌬️ Applications
Grid-connected wind farms
Variable-speed wind turbines
Renewable energy integration
Smart grids & power systems
Wind power control research
📞 MATLAB / Simulink Project & Research Support
🌐 Website: www.matlabprojectscode.com
📧 Email: matlabprojectscode@gmail.com
📱 WhatsApp: +91 8300015425
Academic and research support available for students & researchers in UK, Germany, USA, UAE, Australia & Europe.
👍 Like | Share | Subscribe for more Wind Energy, DFIG, Renewable Power, and MATLAB Simulink simulations.
dfig based wecs matlab simulink, dfig wind turbine simulation, partial scale converter dfig, wind energy conversion system matlab, dfig rotor side converter control, dfig grid side converter control, variable speed wind turbine simulink, wind power system modeling, renewable energy matlab simulation, dfig vector control simulink, wind turbine power control, dfig active reactive power control, grid connected wind turbine dfig, ieee wind energy project matlab, wecs simulink model
#DFIG
#WECS
#WindEnergy
#RenewableEnergy
#MATLAB
#Simulink
#PowerElectronics
#WindTurbine
#GridConnected
#IEEEProjects
#UKUniversities
#StudyInUK
#EngineeringUK
#RenewableEnergyUK
#WindEnergyUK
#ElectricalEngineeringUK
#PowerEngineeringUK
#ResearchInUK
#PhDInUK
#MastersInUK
#RussellGroup
#ImperialCollegeLondon
#UniversityOfCambridge
#UniversityOfOxford
#UCL
Two-Area Load Frequency Control (LFC) using Grey Wolf Fuzzy-PID Controller | MATLAB Simulink Simulation This video presents the modeling and simulation of a Two-Area Power System Load Frequency Control (LFC) using an intelligent hybrid controller — the Grey Wolf Optimization (GWO) tuned Fuzzy-PID Controller implemented in MATLAB/Simulink. The proposed controller improves dynamic performance, frequency stability, and tie-line power oscillation damping compared to conventional PID and Fuzzy controllers. 👨💻 Project Support 🌐 www.matlabprojectscode.com 📧 matlabprojectscode@gmail.com 📱 WhatsApp: +91 8300015425 🔍 Topics Covered Modeling of two-area interconnected thermal power system Governor, turbine, and tie-line power flow representation Fuzzy logic controller for adaptive gain tuning Grey Wolf Optimization (GWO) algorithm for optimal PID parameter selection Simulation of load disturbances and system response Comparison of PID, Fuzzy-PID, and GWO-Fuzzy-PID controllers Performa...
Comments
Post a Comment