Abstract
This paper presents a new intelligent method to track the maximum power point of a photovoltaic system under variable irradiance and temperature conditions using Fuzzy control logic. The system mainly consists of a photovoltaic panel, boost converter and fuzzy controller. The fuzzy control used in the system uses a rate of change of power (error) and change in error as the inputs to get the optimum reference voltage and optimum duty cycle to track the maximum operating point. This method assures fast tracking of a maximum power point with a high accuracy and the results is verified by using simulation.
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References
Safari A, Mekhilef S (2011) Simulation and hardware implementation of IC MPPT with direct control method using Cuk Converter. IEEE Trans Ind Electron 58(4):1154–1161
Roshan R, Yadav Y, Umashankar S, Vijayakumar D, Kothari DP (2013) Modeling and simulation of incremental conductance MPPT algorithm based solar photo voltaic system using CUK converter. In: IEEE 2013: International conference on energy efficient technologies for sustainability (ICEETS)
Tsai HL, Tu CS, Su YJ (2008) Development of generalized photovoltaic model using MATLAB/SIMULINK. In: Proceedings of the world congress on engineering and computer science 2008 WCECS 2008, San Francisco, USA, 22–24 Oct 2008
Villalva MG, Gazoli JR, Ruppert E, (2009) Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Trans Power Electron 25(5):1198–1208, ISSN 0885-8993
Ramos, Hernanz JA, Campayo Martín JJ, Zamora, Belver I, Larrañaga Lesaka J, Zulueta Guerrero E, Puelles Pérez E (2010) Modeling of PV module. In: International conference on renewable energies and power quality (ICREPQ’10) Granada (Spain), 23–25th Mar 2010
Sridhar R, Jeevananathan D, Selvan NT, Banerjee S (2010) Modeling of PV array and performance enhancement by MPPT algorithm. Int J Comput Appl (0975–8887) 7(5)
Verma AK, Singh B, Kaushik SC (2010) An isolated solar power generation using boost converter and inverter. In: Proceeding of national conference on recent advances in computational technique in electrical engineering, SLITE, Longowal, 19–20 Mar 2010
Kalirasu A, Dash SS (2010) Simulation of closed loop controlled boost converter for solar installation. Serb J Electr Eng 7(1):121–130
Ravikumar N, Kohila J (2013) Tracking maximum power point from photovoltaic system using fuzzy logic technique. In: Proceedings of 2013 IEEE conference on information and communication technologies (ICT 2013)
Esram T, Chapman PL (2007) Comparison of PV array maximum power point tracking techniques. IEEE Trans Energy Convers 22(2)
Bouchafaa F, Hamzaoui I, Hadjammar A (2011) Fuzzy logic control for the tracking of MPP of a PV system. Energy Procedia 6:633–642
Qiufeng J, Sujuan L, Hai-zhu Y (2010) Maximum power point tracking in photovoltaic system by using fuzzy algorithm. In: IEEE 2010: international conference on intelligent computing and cognitive informatics
Islam MA, Talukdar AB, Mohammad N, Khan PS (2010) Maximum power point tracking of photovoltaic arrays in matlab using fuzzy logic controller. In: Annual IEEE India Conference (INDICON)
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Chouksey, L., Pattanaik, P.A., Saket, R.K. (2015). Maximum Power Point Tracking of Photovoltaic System Using Two Input and Two Output Fuzzy System. In: Kamalakannan, C., Suresh, L., Dash, S., Panigrahi, B. (eds) Power Electronics and Renewable Energy Systems. Lecture Notes in Electrical Engineering, vol 326. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2119-7_25
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DOI: https://doi.org/10.1007/978-81-322-2119-7_25
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Publisher Name: Springer, New Delhi
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Online ISBN: 978-81-322-2119-7
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