Abstract
The demand for power is increasing day by day, and working with fossil fuels is associated with global warming problem, so renewable resource is better option to fulfil ever-increasing power demand without affecting climate. Among renewable resources, solar energy is widely adopted due to its availability in abundance. The power output for a solar photovoltaic (SPV) cell depends on the operating temperature, solar irradiation and load impedance. So maximum power point of SPV is not constant and keeps on changing under different conditions. Therefore, maximum power point tracking is used to uphold the point to extract maximum power from PV system under different working conditions. In this paper, we have described many maximum power point tracking algorithms commonly used for extracting maximum power out of a solar panel. We have also done a comparative analysis among them for various parameters using a common Simulink model in MATLAB. It has been found that among different methods, artificial intelligence method is most efficient compared to all existing methods and perform well under different conditions of solar irradiations and temperatures.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yoshikawa K, Kawasaki H, Yoshida W (2017) Silicon heterojunction solar cell with interdigitated back contacts for a photo conversion efficiency over 26%. Nature energy
Salas V, Olias E, Barrado A, Lazaro A (2006) Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems. Sol Energy Mater Sol Cells 90:1555–1578
Rauschenbach HS (1980) Solar cell array design handbook. Van Nostrand Reinhold, New York, NY, USA
Villalva MG, Gazoli JR, Filho ER (2009) Comprehensive approach to modelling and simulation of photovoltaic arrays. IEEE Trans Power Electr 24(5):1198–1208
Masoum MAS, Dehbonei H, Fuchs EF (2002) Theoretical and experimental analyses of photovoltaic systems with voltage- and current-based maximum powerpoint tracking. IEEE Trans Energy Convers 17(4):514–522
Schoeman JJ, Van Wyk JD (1982) A simplified maximal power controller for terrestrial photovoltaic panel arrays. In: Proceedings of the IEEE 13th annual power electronics specialists conference (PESC ’82), pp 361–367
Koutroulis E, Kalaitzakis K, Voulgaris NC. Development of a microcontroller-based, photovoltaic maximum power point tracking control system. IEEE Trans on Power Electron
Wasynczuk O (1983) Dynamic behaviour of a class of photovoltaic power systems. IEEE Trans Power App Syst 102(9):3031–3037
Hussein KH, Muta I, Hoshino T, Osakada M (1995) Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. IEE Proc Generat Transm Distrib 142(1):59–64
Hohm DP, Ropp ME. Comparative study of maximum power point tracking algorithms. Prog Photovoltaics Res Appl. Accessed on 22 Nov 2002
Lyden S, Haque ME, Mahmud MA (June 2016) Maximum power point tracking methods for PV systems. In: Advances in solar photovoltaic power plants, green energy and technology, pp 79–105
Femia N, Petrone G, Spagnolo G, Vitelli M. Optimizing duty-cycle perturbation of P&O MPPT technique. In: IEEE 35th annual power specialists conference, Aachen, Germany, 2004
Femia N, Petrone G, Spagnolo G, Vitelli M. Increasing the efficiency of P&O by converter dynamic matching. In: IEEE 35th annual power specialists conference, Aachen, Germany, 2004
Mughal S, Sharma N. Green energy resources/technologies scenario in India. In: Proceeding of national conference on emerging technologies in renewable energy and electrical engineering-2012 (EREEEE-2012), Sangam University Rajasthan, 25–26 Feb 2012
Hussein KH, Muta I, Hoshino T, Osakada M (1995) Maximum power point tracking: an algorithm for rapidly chancing atmospheric conditions. IEE Proc Generat Transm Distrib 142:59–64
Amrouche B, Belhamel M, Guessoum A (2007) Artificial intelligence based P&O MPPT method for photovoltaic systems. Revue des Energies Renouvelables ICRESD-07 Tlemcen, 11–16
Hussein KH, Muta I, Hoshino T, Osakada M (1995) IEE Proc Generat Transm Distrib 142:59–64
Esram T, Chapman PL (June 2007) Comparison of photovoltaic array maximum power point tracking techniques. IEEE Trans Energy Convers 22(2)
Li J, Wang H (1989) Maximum power point tracking of photovoltaic generation based on the fuzzy control method. In: Young M (ed) The technical writer’s handbook. University Science, Mill Valley, CA
Al Nabulsi A, Dhaouadi R (August 2012) Efficiency optimization of a DSP-based standalone PV system using fuzzy logic and dual-MPPT control. IEEE Trans Ind Informat 8(3):573–584
Zainuri MAAM, Radzi MAM, Soh AC, Rahim NA (March 2014) Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc–dc converter. IET Renew Power Gener 8(2):183–194
El Khateb A, Rahim NA, Selvaraj J, Uddin MN (August 2014) Fuzzy-logic-controller-based SEPIC converter for maximum power point tracking. IEEE Trans Ind Appl 50(4):2349–2358
Mughal S, Sharma N. 3E’s in exploring green word. In: National conference on technology advances in electrical and renewable energy engineering (EREECON-2013), Techno India NJR Institute of Technology Udaipur
Mughal S, Sood YR, Jarial RK. A review on solar photovoltaic technology and future trends. Int J Sci Res Comput Sci Eng Inform Technol (IJSRCSEIT-2018) 4(1)
Ramaprabha R, Gothandaraman V, Kanimozhi K, Divya R, Mathur BL (January 2011) Maximum power point tracking using GA optimized artificial neural network for solar PV system. In: 1st international conference on electrical energy systems (ICEES), pp 264–268
Sedaghati F, Nahavandi A, Badamchizadeh MA, Ghaemi S, Abedinpour Fallah M (2012) PV maximum power-point tracking by using artificial neural network. Math Probl Eng 2012
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Hassan, M.S., Mughal, S.N., Jarial, R.K., Sood, Y.R. (2019). A Comparative Analysis of Different Maximum Power Point Tracking Algorithms of Solar Photovoltaic System. In: Mishra, S., Sood, Y., Tomar, A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-13-6772-4_20
Download citation
DOI: https://doi.org/10.1007/978-981-13-6772-4_20
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6771-7
Online ISBN: 978-981-13-6772-4
eBook Packages: EngineeringEngineering (R0)