chenxingqiang/dfig-wind-power
MATLAB/Simulink implementation of a DFIG wind power system with energy storage, featuring advanced control strategies
This project helps power systems engineers and researchers design, simulate, and analyze wind power systems that use Doubly-Fed Induction Generators (DFIGs) and energy storage. You can input system parameters and real-time fault scenarios to observe how different control strategies perform, ultimately producing data and professional reports on system stability, fault ride-through, and frequency support. It's designed for professionals working with grid integration and renewable energy.
Use this if you need to simulate advanced control strategies for DFIG wind power systems with integrated energy storage, including fault ride-through and frequency support, using an interactive GUI.
Not ideal if you are looking for a physical hardware solution or a system that does not rely on MATLAB/Simulink for its simulations and analysis.
Stars
15
Forks
3
Language
MATLAB
License
MIT
Category
Last pushed
Dec 22, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/chenxingqiang/dfig-wind-power"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
FlexMeasures/flexmeasures
The intelligent & developer-friendly EMS to support real-time energy flexibility apps, rapidly...
ml-energy/zeus
Measure and optimize the energy consumption of your AI applications!
pyaf/load_forecasting
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
saizk/Deep-Learning-for-Solar-Panel-Recognition
CNN models for Solar Panel Detection and Segmentation in Aerial Images.
FateMurphy/CEEMDAN_LSTM
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD...