Abstract
The extraction of maximum power from solar photovoltaic (PV) is important for the performance improvement of the system. Maximum power point tracking (MPPT) algorithms are used to meet the above objective. In recent years, some control techniques along with MPPT are being investigated to further enhance the performance of the system. Among these control methods, a sliding mode control (SMC) technique is integrated to the power converter along with classical MPPT methods like perturb and observe (PO). In this paper, we compare the voltage level, power output and voltage tracking of the system with and without SMC. The system is modelled and simulated in the MATLAB/Simulink. The SMC gives fast convergence to the MPPT to track the reference voltage and gives maximum power output without much oscillation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rajput SK, Singh OV (2017) Reduction in CO2 emission through photovoltaic system: a case study. In: 3rd IEEE international conference on nanotechnology for instrumentation and measurement, GBU, India, 16–17 July 2017
Devi VK, Premkumar K, Bisharathu Beevi A, Ramaiyer S (2017) A modified perturb & observe MPPT technique to tackle steady state and rapidly varying atmospheric conditions. Sol Energy 157:419–426
Attou A, Massoum A, Saidi M (2014) Photovoltaic power control using MPPT and boost converter. Balk J Electr Comput Eng 2(1):23–27 (2014)
Bernardo MCP, Peixoto ZMA, Machado Neto, LVB.: A high efficient micro-controlled buck converter with maximum power point tracking for photovoltaic systems. In: International conference on renewable energies and power quality (ICREPQ’09), Valencia (Spain), 15–17 Apr 2009
Sivagamasundari MS, Mary PM, Velvizhi VK (2013) Maximum power point tracking for photovoltaic system by perturb and observe method using buck boost converter. Int J Adv Res Electr Electron Instrum Eng 2(6):2433–2439
Wu G, Li X (2015) Application of Newton interpolation method in maximum power tracking of photovoltaic power generation. Power Technol 39(7):1432–1434
Lyden S, Haque ME, Mahmud MA (2016) Maximum power point tracking methods for PV systems. In: Advances in solar photovoltaic power plants, green energy and technology, pp 79–105, June 2016
Femia N, Petrone G, Spagnolo G, Vitelli M (2004) Optimizing duty-cycle perturbation of P&O MPPT technique. In: IEEE 35th annual power specialists conference, Aachen, Germany
Amrouche B, Belhamel M, Guessoum A (2007) Artificial intelligence based P&O MPPT method for photovoltaic systems. Revue des Energies Renouvelables ICRESD-07 Tlemcen, pp 11–16 (2007)
Khalil HK (2002) Nonlinear systems, 3rd edn. Prentice Hall, Upper Saddle River. ISBN 978-0-13-067389-3
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ravi Kumar, M., Satyanarayana, S., Ganesh, V. (2021). Performance Improvement of Solar PV Maximum Power Point Tracking Using Sliding Mode Control Algorithm. In: Chowdary, P., Chakravarthy, V., Anguera, J., Satapathy, S., Bhateja, V. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 655. Springer, Singapore. https://doi.org/10.1007/978-981-15-3828-5_42
Download citation
DOI: https://doi.org/10.1007/978-981-15-3828-5_42
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3827-8
Online ISBN: 978-981-15-3828-5
eBook Packages: EngineeringEngineering (R0)