A novel strategy for implementation of intelligent techniques in solar photovoltaic arrays to improve the performance and various comparison of partial shading mitigating techniques

ABSTRACT

This paper proposes a new reconfigure technique to improve efficiency by reconfiguring the photovoltaic array during the different partial shading conditions and comparative analysis with various partial shading mitigating techniques. Normally, the photovoltaic array efficiency is less even if the shading occurs in parts on the PV panels in an array. To extract maximum output from solar PV panels, the different modulation and MPPT techniques are utilized. Due to continuous and discontinuous partial shading, this MPPT technique also fails to perform a uniform power voltage curve. Therefore, to improve the efficiency and performance of the PV array, a prudent solution is needed to dispersing the shading by reconfiguring the solar panel array. Most of the present reconfiguration schemes are quite complex, succumb to erroneous execution, and not suitable for practical implementations. The proposed Intelligent Reconfiguration Technique (IRT) technique is well suited for extension of power ranges and it offers smooth power vs voltage graph there by the algorithm struck up in local maxima can be averted. Also the superiority of the IRT method quantitatively proven in Table 6 by comparing other methods with various shading patterns.

KEYWORDS:

• MPPT
• solar photovoltaic
• partial shading
• mitigating techniques
• intelligent reconfiguring techniques

Data availability

The PV simulation data used to support the findings of this study are available from the corresponding author upon request.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Elango Kannan

Elango Kannan received the bachelor’s degree in Electrical and Electronics Engineering from Alagappa Chettiar College of Engineering and Technology, Madurai Kamaraj University, Karaikudi, Tamil Nadu, India in 1998. He received his master’s degree in Power System Engineering from Annamalai University, Chidambaram, and Tamil Nadu, India in 2000. He received his Ph.D. degree in Congestion Management in Restructured Power System from CEG, Anna University, Chennai, and Tamil Nadu, India in 2012. During his outstanding academic career spanning 20 years, he served as a Professor as well as Head of the Department in SRM Valliammai Engineering College, Chennai. He is a member of the Board of studies of Department of Electrical and Electronics Engineering. He is a Member of the Academic Council of SRM Valliammai Engineering College, Chennai. He has published several technical papers in national and international Journal and Conference. His current research interests include the Power Systems, Congestion Management, Solar Energy, and Soft Computing Techniques. He is a Chartered Engineer and Fellow Member of IE(I). He is a Senior Member of the IEEE, ISTE and ISC.

Maheswari Avudaiappan

Maheswari Avudaiappan obtained the master’s degree in Computer Science and Engineering from Sathyabama University, Chennai, in 2008 and bachelor’s degree in Computer Science and Engineering from Madras University in 1999. She received her Ph. D. in the area of Machine Learning from Sathyabama University, Chennai, in 2019. Since 2021, she serves as an Assistant Professor (Selection Grade) in the Department of Computer Science Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Chennai Campus. She has published research papers in various SCI, Scopus Indexed Journals, international journals and conferences. Her research areas include Machine Learning, Machine Transliteration for Brahmi Letters, Deep Learning, and Internet of Things.

Saravanan Kaliyaperumal

Saravanan Kaliyaperumal received the bachelor’s degree in Electrical and Electronics Engineering from Madurai Kamaraj University during the year 1998 and the master’s degree in Power Electronics and Drives from Anna University, Chennai during the year 2001. Also, he completed the Ph.D. degree in Electrical Engineering from JNTU Kakinada, Andhra Pradesh during the year 2018 in the area of Renewable Energy Systems. At present, he is working as Associate Professor in the Department of Electrical and Electronics Engineering at SRM Institute of Science and Technology, SRM University, Chennai. He is having a teaching experience of more than 18 years in various institutions at various levels. He has published several research articles in various National and International Journals. His current research interests include renewable energy systems, hybrid electric vehicles and multilevel inverters. He is a fellow member in FIE, a lifetime member in ISTE and a lifetime member in SESI.

Suresh Muthusamy

Suresh Muthusamy received the bachelor’s degree in Electrical and Electronics Engineering and the master’s degree in Power Electronics and Drives during the year 2009 and 2011 from Anna University, Chennai and Anna University, Coimbatore respectively. Currently, he is working towards the Ph.D. degree in Electrical Engineering at Anna University, Chennai in the area of Hybrid Renewable Energy Systems. Since 2011, he has been working as Assistant Professor Senior Grade in the Department of Electronics and Communication Engineering at Kongu Engineering College (Autonomous), Perundurai, Erode. He published more than 70 research articles in the reputed international journal publications like Elsevier, Springer, Taylor & Francis, SAGE, ASME, etc & indexed in SCI, SCIE, Scopus and Web of Science with good impact factor and also presented many papers in national and international conferences. His areas of interests include hybrid renewable energy systems, power electronic converters, hybrid electric vehicles and battery management systems.

Hitesh Panchal

Hitesh Panchal received the bachelor’s degree in Mechanical Engineering from Government Engineering College, Modasa, Gujarat during the year 2004 and the master’s degree in Internal Combustion Engines and Automobile from L.D. College of Engineering, Ahmedabad, Gujarat during the year 2006. He then received the Ph.D degree in Mechanical Engineering in the area of Solar Thermal Engineering from K.S.V. University, Gandhinagar, Gujarat in 2015. Dr. Panchal has published more than 150 research articles in reputed National and International Journal publications like Taylor and Francis, Springer, Elsevier, ASME, SAGE, etc. and also received 5000+ Google Scholar citations with h-index of 46 and i-10 index of 113. Dr.Panchal received many prestigious awards like Best Ph.D Thesis Award, Bharat Excellence Award, Young Scientist Award, Bright Researchers Award and many more from various organizations. Dr.Panchal has completed 2 Research projects from GUJCOST, DST of 15 lakhs and currently working on one Research project from DTE. Dr.Panchal has filed 24 full patents & 4 Industrial designs and among them 2 patents & 2 industrial designs has been granted. Recently, Dr.Panchal has been selected in “Top 2% Indian Scientist under the energy category” published by Stanford University.

Santhiya Pandiyan

Santhiya Pandiyan received the bachelor’s degree in Computer Science and Engineering and the master’s degree in Computer Science and Engineering during the year 2013 and 2015 from Anna University, Coimbatore and Anna University, Chennai respectively. Currently, she is working towards the Ph.D. degree in Computer Science and Engineering at Anna University, Chennai in the area of Machine Learning. She worked as Assistant Professor in the Department of Computer Science and Engineering at Paavai Engineering College (Autonomous), Namakkal from 2016 to 2021 for a period of about 5 years 7 months. Since August 2021, she has been working as Assistant Professor in the Department of Computer Science and Engineering at Kongu Engineering College (Autonomous), Perundurai, Erode. She published 6 research articles in various international journal publications like Taylor & Francis, Elsevier, etc. and presented 4 papers in national/international conferences. Her areas of interest include Machine Learning, deep Learning, Internet of Things, Data structures, etc.

Arulmurugan Azhaganantham

Arulmurugan Azhaganantham received the bachelor’s degree in Electrical and Electronics Engineering from Madurai Kamaraj University during the year 1999, master’s degree in VLSI Design from Anna University, Chennai during the year 2008 and then completed the PhD degree from Anna University Chennai during the year 2019 in the area of VLSI testing. Presently, he is working as Assistant Professor Selection Grade in the Department of Electronics and Communication Engineering in Kongu Engineering College (Autonomous), Perundurai, Erode. He has published 13 technical papers in international/national conferences and published 3 research articles in international journals. His areas of interest include Low power VLSI design, Thermal aware testing and VLSI Test data compression.