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Performance Analysis of Grid Connected SPV Inverter for FLC and ANFIS Based Controller

EasyChair Preprint no. 2481

25 pagesDate: January 29, 2020


Maximum Power Point Tracking (MPPT) is used in Solar Photovoltaic (SPV) systems to maximize the photovoltaic array output power, irrespective of the temperature and irradiation conditions and of the load electrical characteristics. This paper proposes a mathematical model for three-phase SPV systems with MPPT control. The parametric equation of SPV cell, MPPT algorithm for tracking maximum power from the PV source, integration of PV model with the grid through a DC-DC boost converter and a three-phase PWM inverter are discussed. The detailed model is developed to perform the comparison of different controller in terms of switching losses, junction temperature and sink temperature of power electronics devices. The resulting system has high efficiency, lower cost and can be easily modified for different applications. Fuzzy logic control (FLC) method and Adaptive neuro fuzzy inference (ANFIS) based controller is used for MPPT, giving the basis for reference current generation and in turn effectively control the PWM inverter feeding power to the grid. The performance evaluation has been carried out for duty cycle of DC-DC boost converter for both controller for various outputs of the SPV array, in terms of energy injected to grid, switching losses, junction temperature and sink temperature. The results validated the effectiveness of the MPPT algorithm in increasing SPV output energy, decrease in the switching losses, junction & sink temperature. The results show that ANFIS method is slightly better to FLC method in energy injected to the grid with lower switching losses, junction & sink temperature

Keyphrases: ANFIS, FLC, MPPT, SPV

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Ranjit Singh and Sumit Kataria and Pushkar Kumar},
  title = {Performance Analysis of Grid Connected SPV Inverter for FLC and ANFIS Based Controller},
  howpublished = {EasyChair Preprint no. 2481},

  year = {EasyChair, 2020}}
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