INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
NEUTRAL NETWORKS BASED MAXIMUM POWER POINT TRACKING (MPPT) OF WIND POWER GENERATION
Authors Name:
Jaya Kanaka Gowri
, Madhu Chandra Popuri
Unique Id:
IJSDR2002027
Published In:
Volume 5 Issue 2, February-2020
Abstract:
One of the momentous renewable sources is wind energy for generating the electric power throughout the world. The toughest task in wind system is to covert the wind energy to load or grid. Hence, power electronic advancements are required for conversion purpose, which contains grid and generator side converters. In this study, suggested the maximum power point tracking (MPPT) approach is implanted for regulating the generator side converter. Moreover, artificial neural network (ANN) method is used with hill climbing search MPPT algorithm for enhancing the speed and accuracy of the system. Likewise, in this work, sliding mode control (SMC) is presented for mitigating the speed at various circumstances, which is performs efficiently rather than other control approaches. The simulation results reveal the greatest performance with proposed control schemes in terms of speed control and accuracy.
Keywords:
Wind energy, MPPT, SMC, ANN, Speed control, Accuracy
Cite Article:
"NEUTRAL NETWORKS BASED MAXIMUM POWER POINT TRACKING (MPPT) OF WIND POWER GENERATION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 2, page no.164 - 168, February-2020, Available :http://www.ijsdr.org/papers/IJSDR2002027.pdf
Downloads:
000336257
Publication Details:
Published Paper ID: IJSDR2002027
Registration ID:191203
Published In: Volume 5 Issue 2, February-2020
DOI (Digital Object Identifier):
Page No: 164 - 168
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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