Artificial Neural Network Based Power Quality Improvement For Grid Connected Wind Power System Using PMSG and SEPIC Converter-Reference-Cited by-同舟云学术

Artificial Neural Network Based Power Quality Improvement For Grid Connected Wind Power System Using PMSG and SEPIC Converter

Published:2023-12-14 Issue: Volume:58 Page:1-6
ISSN:
Container-title:2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE)
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Author:

Rajendran E.¹,Raji V.²,Kar Siddheswar³,Rahiman Riyaz A⁴,Mujahid Irfan Md⁵,Karthikeyan D.⁶

Affiliation:

1. SKP Engineering College,Department of Electrical and Electronics Engineering,Tiruvannamalai,Tamil Nadu,India

2. SKP Engineering College,Department of Computer Science and Engineering,Tiruvannamalai,Tamil Nadu,India

3. Medi-Caps University,Department of Electrical Engineering,Indore,MP,India

4. Reva University,School of Electronics and Communication,Bangalore,India

5. SR University,Department of Electrical and Electronics Engineering,Warangal

6. SRM Institute of Science and Technology,Department of Electrical and Electronics Engineering,Kattankulathur, Chennai,India

Publisher

IEEE

Link

Reference15 articles.

3. Modelling and control strategy of PMSG based variable speed wind energy conversion system;Maaroufi

5. Battery energy storage system for variable speed driven PMSG for wind energy conversion system;Jain