This paper combines the method like PO-FUZZY to obtain maximum power in hybrid mode in the process of partial shading condition by using the SEPIC converter. The action of the regular PV is pretended by the several alters in meteorological state. This circumstance that intensely reduces the effectiveness of the PV System. Under partial shading condition, there happens various peaks in the PV curve according to irradiance and temperature. Thus, the changeful atmosphere finds an essentiality to identify the point for each instant from source to load. Typical P&O algorithms struggle under partial shading environments on account of their tendency to fluctuate about local maxima, leading to wrong tracking. When combining FLC with P&O implements faster convergence to the GMPP. The FLC determines adjusting adaptations based on heuristic standards, balancing for the P&O’s impotence to equate local and global maxima efficiently. The fluctuating step size supported by PO-FUZZY algorithm provide a permanent MPP tracking among oscillation-free to identify the global maximum power point (GMPP) in equilibrium condition and it outperforms existing topologies under partial shading on account of its capability to adapt dynamically, track the GMPP accompanying greater accuracy and lower power damages. These improvements manage an irresistible choice for solar PV orders working in complex shading environments. The outset study of PO and FUZZY methods are analyzed individually as well as in Hybrid mode and the results are presented by using MATLAB/SIMULINK.

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Performance Study of Hybrid PO-FUZZY MPP Tracking for SEPIC Converter in Partial Shading Condition of PV

  • J. Malathi,
  • M. Marimuthu,
  • B. Paranthagan,
  • S. Anu Thilak,
  • D. Sanjay,
  • P. Navinkumar

摘要

This paper combines the method like PO-FUZZY to obtain maximum power in hybrid mode in the process of partial shading condition by using the SEPIC converter. The action of the regular PV is pretended by the several alters in meteorological state. This circumstance that intensely reduces the effectiveness of the PV System. Under partial shading condition, there happens various peaks in the PV curve according to irradiance and temperature. Thus, the changeful atmosphere finds an essentiality to identify the point for each instant from source to load. Typical P&O algorithms struggle under partial shading environments on account of their tendency to fluctuate about local maxima, leading to wrong tracking. When combining FLC with P&O implements faster convergence to the GMPP. The FLC determines adjusting adaptations based on heuristic standards, balancing for the P&O’s impotence to equate local and global maxima efficiently. The fluctuating step size supported by PO-FUZZY algorithm provide a permanent MPP tracking among oscillation-free to identify the global maximum power point (GMPP) in equilibrium condition and it outperforms existing topologies under partial shading on account of its capability to adapt dynamically, track the GMPP accompanying greater accuracy and lower power damages. These improvements manage an irresistible choice for solar PV orders working in complex shading environments. The outset study of PO and FUZZY methods are analyzed individually as well as in Hybrid mode and the results are presented by using MATLAB/SIMULINK.