MPPT Based PMSG Wind Turbine System Using Sliding Model Control (SMC) and Artificial Neural Network (ANN) Based Regression Analysis

Abstract

In view of the recent development and phenomenal growth in the field of electrical/power engineering, various new enhanced and sophisticated power control techniques have emerged which have got the enormous capabilities to produce the desired power in the most efficient and effective manner. This paper presents the permanent magnet synchronous generator (PMSG) connected to the wind turbine to extract the maximum power using the integral sliding mode control technique and artificial neural network (ANN). The real power produced by the generator is directly dependent on the internal characteristic of the wind turbine like TSR (tip speed ratio), Power Coefficient, etc. To extract the maximum power from the wind turbine, it has been depicted that ANN a is more efficient and reliable form than the sliding mode control technique.

KEYWORDS:

• ANN
• MPPT
• PMSG
• Sliding mode control
• TSR

Additional information

Notes on contributors

Nirmal Kumar Agarwal

Nirmal Kumar Agarwal is a Member of IEEE, currently working as a Assistant Prof in Electrical Engg Dept at JSSATE Noida (UP). He graduated in electrical engineering from the Rajasthan University Jaipur in 2005 (with Honours). He obtained MTech from NIT Hamirpur (HP) in 2008. He has published/presented more than 7 papers in national/international journals/conferences of repute. His field of interest includes power sector reforms and renewable energy resources. Email: [email protected]

Pradip Kumar Sadhu

P K Sadhu is a Member of IEEE, currently the head of the Department of Electrical Engineering at IIT (ISM) Dhanbad. He did his BE from Jadavpur University in 1997 and ME in 1999. He was awarded Phd (Engg.) in 2002 from Electrical Engineering Department, Jadavpur University. He has 4 Patents and more than 100 papers (SCI Based) in national/international journals/conferences of repute. His current areas of interest are power electronics applications, application of high-frequency converter, energy-efficient devices, computer-aided power system analysis and condition monitoring. Email: [email protected]

Suprava Chakraborty

Suprava Chakraborty is a member of IEEE, IET and IEI, currently working as an associate professor at Madanapalle Institute of Technology and Science, India. She has also served several years as a research scientist at National Institute of Solar Energy (NISE). She completed her BTech in 2011 and MTech in 2013. She obtained her PhD in 2016 from IIT (ISM) Dhanbad. She has more than 20 papers (SCI Based) in national/international journals/conferences of repute and 2 patents (applied). She is reviewer of many journals including the publication houses like IEEE, Springer, Wiley, Elsevier, etc. Her areas of interest are power electronics applications, energy-efficient devices, solar photovoltaic systems and renewable energy resources. Corresponding author. Email: [email protected]