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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Advanced Controller For Enhancing Grid-Connected Doubly Fed Induction Generator (DFIG)-Based Wind Energy Conversion System |
| Authors Name: | M Manikandan , Ch. Srikanth , P. Keerthana , A. Layasri , M. Anusha |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_218845
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| Published Paper Id: | IJNRD2404617 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | http://doi.one/10.1729/Journal.39051 |
| Abstract: | In renewable energy power system is most popular in recent decades. In wind energy system, the power management capability, speed control operation, low converter cost and minimized energy losses are problem statement of the project. Firstly, an Artificial Neural Networks (ANN) has been introduced to give better dynamic performance during the fluctuating wind speed by keeping the output voltage stable. Secondly, The Neuro Fuzzy controller NFC is developed based on adaptive-network-based fuzzy inference system (ANFIS) for load side converter control. It improves dynamic performance under variable wind speed and load conditions by maintaining stable output voltage. In addition to that, the grid side harmonic is also minimized by implementing these methods. The performances have been tested on a 1.5 MW doubly fed induction generator (DFIG). The simulation results evident to the performance of ANN and ANFIS of Grid-Connected Doubly Fed Induction Generator (DFIG)-Based Wind Energy Conversion System using MATLAB simulation. The result of the Total Harmonic Distortion (%THD) is reduced for PI, ANN and ANFIS like 24.49%, 4.2% and 0.85% respectively. |
| Keywords: | Wind turbine system controllers, double fed induction generators, ANN, ANFIS, THD. |
| Cite Article: | "Advanced Controller For Enhancing Grid-Connected Doubly Fed Induction Generator (DFIG)-Based Wind Energy Conversion System", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g158-g171, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404617.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404617 Registration ID: 218845 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.39051 Page No: g158-g171 Country: Karimnagar, Telangana, India Research Area: Electrical Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404617 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404617 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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