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M.Tech M.E PhD Thesis | Power Engineering | Volume 7 Issue 8, August 2018 | Pages: 123 - 127 | India
Fuzzy Logic Based MPPT Controller for Photovoltaic System
Abstract: Due to variation of temperature and solar intensity, the power output from photovoltaic panel will not be steady. The method of locating a point on IV and PV characteristics of PV panel, at which the output power of PV panel is maximum is known as maximum power point tracking [MPPT]. By the use of MPPT technique, maximum power can be extracted from the PV panel. There are many MPPT techniques such as Perturb & Observe method, Incremental Conductance method, fractional open circuit method and others. In this paper Perturb and Observe method and fuzzy logic controller [FLC] for maximum power point tracking are discussed. The MPP is tracked for varying and constant solar irradiance. The design and performance of P & O method and FLC are analyzed in this paper. From simulation results it is clear that FLC MPPT method is advanced technique which provides better performance when compared with P & O and other MPPT techniques.
Keywords: Photovoltaics, Maximum Power Point Tracking MPPT, Perturb & Observe Method, Fuzzy Logic Controller FLC
How to Cite?: Nisarga G C, C R Sharada Prasad, "Fuzzy Logic Based MPPT Controller for Photovoltaic System", Volume 7 Issue 8, August 2018, International Journal of Science and Research (IJSR), Pages: 123-127, https://www.ijsr.net/getabstract.php?paperid=ART2019357, DOI: https://dx.doi.org/10.21275/ART2019357