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Performance Enhancement Using Novel Soft Computing AFLC Approach for PV Power System

  • Neeraj PriyadarshiEmail author
  • Akash Kumar Bhoi
  • Sudip Kumar Sahana
  • Pradeep Kumar Mallick
  • Prasun Chakrabarti
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1040)

Abstract

This work deals the comparison of perturbation and observation (P and O) as well as asymmetrical fuzzy logic controller (AFLC)-based soft computing approach as a maximum power point tracking (MPPT) means for photovoltaic (PV) network. The simulation of PV power system has been realized using both algorithms for different solar insolations. In this work, Cuk converter has been interfaced between PV array and load for smooth MPPT operations. The grid-tied PV system with unity power factor has estimated using MATLAB/SIMULINK approach. Simulation results explain the effectiveness and robustness of AFLC-based MPPT formulation.

Keywords

Cuk converter FLC MPPT PV P and O 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Neeraj Priyadarshi
    • 1
    Email author
  • Akash Kumar Bhoi
    • 2
  • Sudip Kumar Sahana
    • 3
  • Pradeep Kumar Mallick
    • 4
  • Prasun Chakrabarti
    • 5
  1. 1.Department of Electrical EngineeringBirsa Institute of Technology (Trust)RanchiIndia
  2. 2.Department of Electrical & Electronics EngineeringSikkim Manipal Institute of Technology, Sikkim Manipal UniversityGangtokIndia
  3. 3.Department of Computer Science and EngineeringBirla Institute of TechnologyMesra, RanchiIndia
  4. 4.School of Computer EngineeringKalinga Institute of Industrial Technology (KIIT) UniversityBhubaneswarIndia
  5. 5.Department of Computer Science and EngineeringITM UniversityVadodaraIndia

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