| Issue |
E3S Web Conf.
Volume 472, 2024
International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2023)
|
|
|---|---|---|
| Article Number | 01002 | |
| Number of page(s) | 10 | |
| Section | Smart and Energy Efficient Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202447201002 | |
| Published online | 05 January 2024 | |
Comparative Analysis of Low Voltage Ride Through Techniques of DFIG Connected to Grid using AI Techniques
1 Associate Professor, EEE Department, CVR College of Engineering, Hyderabad, India
2 Professor, EEE Department, CVR College of Engineering, Hyderabad, India
3 Professor, EEE Department, CVR College of Engineering, Hyderabad, India
The requirement for clean and eco-friendly energy initiated the production of renewable energy. Wind energy promises attractive features such as bulk power production and reduced maintenance cost. Advancement of technologies in the field of wind turbines and generators made the gates open for attractive investments. Adjustable-speed wind turbines tied to Doubly Fed Induction Generators (DFIG) became the most excellent choice of power utilities due to their low-cost power converters and four-quadrant control of useful and wattless powers. The ability to extract a high amount of power for a specified wind speed is a major advantage of DFIG which attracted Power system Operators (PSOs). Low voltage ride-through and wattless Spower support to the grid are estimated and compared using conventional PI controllers, Artificial Neural Network (ANN), and Random Forest Optimization (RFO) algorithm.
© The Authors, published by EDP Sciences, 2024
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