Comparative Analysis of Maximum Power Point Tracking Algorithms for Standalone PV System Under Variable Weather Conditions

Authors

  • Aditya Ghatak Electrical and Electronics Engineering, Vellore Institute of Technology, India
  • Tushar Pandit Electrical and Electronics Engineering, Vellore Institute of Technology, India
  • Dharavath Kishan Electrical and Electronics Engineering, National Institute of Technology, Karnataka, Surathkal, India
  • Ravi Raushan Electrical and Electronics Engineering, National Institute of Technology, Karnataka, Surathkal, India

DOI:

https://doi.org/10.13052/dgaej2156-3306.38110

Keywords:

Cuckoo search, fuzzy logic, incremental conductance, maximum power point tracking, particle swarm optimization, perturb and observe, photovoltaic

Abstract

Renewable energy systems are becoming increasingly predominant in the current scenario, and Photovoltaic (PV) arrays are one of the most widely used renewable energy generation sources. The current-voltage characteristics of PV arrays are non-linear, necessitating the need for supervisory techniques in order to ensure that the array functions at maximum efficiency, which is performed by Maximum Power Point Tracking (MPPT) techniques. These techniques are categorized into classical, intelligent and optimization algorithms. This paper performs a comparative analysis between five different MPPT techniques belonging to these categories – Perturb and Observe (P&O), Incremental Conductance (IC), Fuzzy Logic Control (FLC), Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA). A standalone PV system interfaced with a Boost converter is simulated on MATLAB Simulink for the performance evaluation of the MPPT techniques. Solar energy is extremely susceptible to changes in local weather conditions, mainly variations in solar insolation levels. The designed system is tested against a varying insolation profile in order to examine the robustness of the MPPT techniques, with their operation efficiencies showcased.

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Author Biographies

Aditya Ghatak, Electrical and Electronics Engineering, Vellore Institute of Technology, India

Aditya Ghatak is currently pursuing his bachelor’s degree in electrical and electronics engineering from Vellore Institute of Technology, India, His research interest includes power systems, renewable energy systems and electric vehicles.

Tushar Pandit, Electrical and Electronics Engineering, Vellore Institute of Technology, India

Tushar Pandit is currently pursuing a bachelor’s degree in Electrical and Electronics Engineering from Vellore Institute of Technology, India. His interests lie in power systems, renewable resources, distributed generation and microgrids, electric vehicles, and smart energy.

Dharavath Kishan, Electrical and Electronics Engineering, National Institute of Technology, Karnataka, Surathkal, India

Dharavath Kishan received the B. Tech degree in Electrical and Electronics Engineering and M. Tech degree in Power Electronics from Jawaharlal Nehru Technological University Hyderabad respectively in 2011 and 2013 and he received his PhD degree from National Institute of Technology Tiruchirappalli in 2018. Currently he is working as Assistant Professor in Department of E & E Engineering at National Institute of Technology Karnataka (NITK), Surathkal, India. Prior to joining NITK he worked as Assistant Professor at Faculty of Science and Technology, IFHE Hyderabad. Dr Kishan current research interests include power electronics and its applications in electric vehicles, wireless power transfer and transportation electrification. He has published 16 research papers in reputed journals and peer reviewed international conferences. He is also delivered guest lectures at various events on Wireless Power Transfer for electric vehicles. He is also an IEEE Senior Member and IAS, PELS & IES Society member. Dr Kishan is also an active reviewer for various reputed IEEE transactions like IEEE Transactions on Electromagnetic compatibility, IEEE Transactions on Industrial Electronics, IEEE Transactions on vehicular Technology, and IEEE Access, IET Renewable Power Generation. He has guided two master level students in the area of power electronics and currently guiding one master and Five PhD students in the area of Power Electronic Applications.

Ravi Raushan, Electrical and Electronics Engineering, National Institute of Technology, Karnataka, Surathkal, India

Ravi Raushan received the B. Tech degree in Electrical Engineering and M. Tech degree in Mechatronics from Maulana Abul Kalam Azad University of Technology, Kolkata respectively in 2010 and 2012. He received his PhD degree from Indian Institute of Technology (Indian School of Mines) Dhanbad in 2018. Currently he is working as Assistant Professor in Department of E & E Engineering at National Institute of Technology Karnataka (NITK), Surathkal, India. His research interests are power electronic converters and its application in renewable energy.

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Published

2022-12-09

How to Cite

Ghatak, A. ., Pandit, T. ., Kishan, D. ., & Raushan, R. . (2022). Comparative Analysis of Maximum Power Point Tracking Algorithms for Standalone PV System Under Variable Weather Conditions. Distributed Generation &Amp; Alternative Energy Journal, 38(01), 215–248. https://doi.org/10.13052/dgaej2156-3306.38110

Issue

2023: Vol 38 Iss 1

Section

Advancements in Distributed Generation and Electric Vehicle Technologies