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Improved Performance Analysis of PV Array Model Using Flower Pollination Algorithm and Gray Wolf Optimization Algorithm

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  • J. Jayaudhaya
  • K. Ramash Kumar
  • V. Tamil Selvi
  • N. Padmavathi
  • Zhiwen Chen

Abstract

The efficiency of a photovoltaic (PV) system under partial shading conditions (PSCs) is primarily determined by how the PV panels are connected to the load. Various PV system architectures have been developed to improve power processing capability and thus power conversion efficiency. In this article, a central and string architecture are considered, and the performance characteristics are obtained using optimization techniques such as gray wolf optimization (GWO) and flower pollination algorithm (FPA) in MATLAB/Simulink. The simulation results show that the performance characteristics of string architecture obtained using the GWO algorithm outperform central architecture with both GWO and FPA.

Suggested Citation

  • J. Jayaudhaya & K. Ramash Kumar & V. Tamil Selvi & N. Padmavathi & Zhiwen Chen, 2022. "Improved Performance Analysis of PV Array Model Using Flower Pollination Algorithm and Gray Wolf Optimization Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-17, August.
    • Handle: RePEc:hin:jnlmpe:5803771
    DOI: 10.1155/2022/5803771
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