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A Parameter Estimation of Photovoltaic Models Using a Boosting Flower Pollination Algorithm.

Shuai Liu1,2, Yuqi Yang3, Hui Qin1,2

  • 1School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Sensors (Basel, Switzerland)
|October 14, 2023
PubMed
Summary
This summary is machine-generated.

A new Boosting Flower Pollination Algorithm (BFPA) accurately estimates photovoltaic model parameters. This method enhances solar energy conversion efficiency and demonstrates superior performance in photovoltaic modeling.

Keywords:
energy systemsflower pollination algorithmparameter estimationphotovoltaic models

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Area of Science:

  • Renewable Energy Systems
  • Computational Intelligence
  • Electrical Engineering

Background:

  • Accurate photovoltaic (PV) model parameter estimation is crucial for efficient solar energy systems.
  • Existing methods may lack robustness or computational efficiency in complex PV modeling scenarios.

Purpose of the Study:

  • To introduce and validate a Boosting Flower Pollination Algorithm (BFPA) for enhanced PV model parameter identification.
  • To improve the accuracy and reliability of solar energy conversion efficiency estimations.

Main Methods:

  • Developed a BFPA incorporating Gaussian distribution for resource conservation and solution stability.
  • Implemented population clustering and adaptive boundary handling strategies for optimized evolution.
  • Applied BFPA to extract parameters from single-diode, double-diode, and PV module models.

Main Results:

  • BFPA demonstrated statistically significant superiority over eight benchmark methods in parameter extraction.
  • Successfully identified parameters for three commercial PV cells under varied conditions (temperature, irradiance).
  • High consistency observed between BFPA-simulated and experimental PV data.

Conclusions:

  • BFPA offers a robust and accurate approach for photovoltaic model parameter estimation.
  • The algorithm shows significant potential for improving solar energy conversion efficiency.
  • BFPA provides a reliable tool for analyzing commercial PV cells under diverse operating conditions.