Improving the Maximum Power Point Tracking in Wind Farms with PID and Artificial Intelligence Controllers for Switched Reluctance Generators-Reference-Cited by-同舟云学术

Improving the Maximum Power Point Tracking in Wind Farms with PID and Artificial Intelligence Controllers for Switched Reluctance Generators

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Futuristic Technologies (INCOFT)
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Author:

Ramana G V¹,Muni T Vijay²,Subbarayudu Chilukuri Bala Venkata³,Parimala V⁴,Suneela B.⁵,Raj E. Fantin Irudaya⁶

Affiliation:

1. Visakha Institute of Engineering & Technology,Dept. Electrical & Electronics Engineering,Visakhapatnam,India

2. Koneru Lakshmaiah Education Foundation,Dept.of Electrical and Electronics Engineering,Vaddeswaram,India

3. Shadan Women’s College of Engineering and Technology,Dept.of Electrical and Electronics Engineering,Hyderabad,Telangana,India

4. KPR Institute of Engineering and Technology,Dept.of Electrical and Electronics Engineering,Coimbatore,India

5. Lord’s Institute of Engineering and Technology,Dept.of Electronics and Communication Engineering,Hyderabad,Telangana,India

6. Dr. Sivanthi Aditanar College of Engineering,Dept.of Electrical and Electronics Engineering,Tiruchendur,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094317/10094318/10094347.pdf?arnumber=10094347

Reference31 articles.

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3. Sensorless Control for a Switched Reluctance Wind Generator, Based on Current Slopes and Neural Networks

4. Study the performance of solar PV array under partial shadow using DC- DC converter;ilahi;Journal of Advanced Research in Dynamical and Control Systems,2018

5. Implementation of control strategies for optimum utilization of solar photovoltaic systems with energy storage systems;muni;Int Journal of Renewable Energy,2020

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