Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM37644

Design and Performance Analysis of Brushless Doubly-Fed Machine for Wind Power Generation Using AI

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM37644

Volume:

8 |

9 |

Sep 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM37644

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

DR

Duba Revathi

DM

Dr Midhunchakkaravarthy

Author Services & Downloads

Full Articles

Abstract

In BDFIG whenever an inductive load is suddenly connected or disconnected from the stator power winding(PW), it would leads to large fluctuations at PCC (Point of Common Coupling). So that here we proposed a transient control phenomena of the reactive current by the Line Side Converter (LSC) control. The reactive power change of load leads to the affect of the quality of the voltage waveform at PCC. The LSC cannot work properly, when the amplitude of the PCC voltage is higher than the dc link voltage. Many control strategies such as direct voltage control, predictive control etc., are developed to supply reactive current to overcome this problem in the machine side converter. By supplying or absorbing reactive current the PCC voltage fluctuations are stabilized, this can also be achieved by the LSC. Here we analyzes the PCC voltage and the transient reactive current when is load is suddenly connected or disconnected to the stator power winding and proposed a concept for this control which has better transient state performance. An AI- Fuzzy logic controller is developed in this paper for the better mitigation of distortion. The controllability of the LSC is analyzed whenever voltage swell occurs at PCC, when the load is disconnected from the power winding of the stator. By using reactive current of the LSC, a high voltage ride through concept is proposed and the correctness of this method is discussed by simulation and changes in the output as compared to proposed method is observed in the results..

KEYWORDS

Brushless doubly-fed induction generator (BDFIG) reactive current compensation stand-alone operation transient response Artificial Intellegence (AI) Fuzzy logic controller.

Cite This Article

Duba Revathi, Dr Midhunchakkaravarthy, "Design and Performance Analysis of Brushless Doubly-Fed Machine for Wind Power Generation Using AI," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 9, Sep 2024. https://doi.org/10.55041/IJSREM37644

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

9/27/2024

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

4

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...