Control System For Wind Power Plant

Shweta Gaur , Brijraj Singh Solanki

Multi-layer Perceptron, radial basis neural networks, fuzzy PID Control system, pitch and yaw control.

The variations and uncertainty of wind speed is the major problem of wind energy generation plant. To increase the characteristics of energy produced by wind power plant, many control strategies and techniques are developing for wind turbine. To expand the standard of power we are controlling pitch and yaw system when air currents is above the assess speed. Pitch angle is controlled through multi layer perceptron as well as radial basis neural networks. Yaw system is controlled through fuzzy PID method.

Published Paper   E-Certificate

"Control System For Wind Power Plant ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 3, page no.473 - 476, March-2019, Available :https://ijsdr.org/papers/IJSDR1903080.pdf

Volume 4 Issue 3, March-2019

Pages : 473 - 476

Paper Reg. ID: IJSDR_190276

Published Paper Id: IJSDR1903080

Downloads: 000347158

Research Area: Engineering

Country: Jaipur, Rajasthan, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1903080

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1903080

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition