NEUTRAL NETWORKS BASED MAXIMUM POWER POINT TRACKING (MPPT) OF WIND POWER GENERATION
Jaya Kanaka Gowri
, Madhu Chandra Popuri
Wind energy, MPPT, SMC, ANN, Speed control, Accuracy
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.
"NEUTRAL NETWORKS BASED MAXIMUM POWER POINT TRACKING (MPPT) OF WIND POWER GENERATION", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 2, page no.164 - 168, February-2020, Available :https://ijsdr.org/papers/IJSDR2002027.pdf
Volume 5
Issue 2,
February-2020
Pages : 164 - 168
Paper Reg. ID: IJSDR_191203
Published Paper Id: IJSDR2002027
Downloads: 000347220
Research Area: Engineering
Country: VISAKHAPATNAM, ANDHRA PRADESH, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
