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Updated: Oct 12, 2025

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An adaptive differential evolution with decomposition for photovoltaic parameter extraction.

Zhen Yan1, Shuijia Li1, Wenyin Gong1

  • 1School of Computer Science, China University of Geosciences, Wuhan 430074, China.

Mathematical Biosciences and Engineering : MBE
|November 24, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an advanced differential evolution method with search space decomposition for efficient photovoltaic (PV) parameter extraction. The approach reduces computational resources while ensuring accurate PV model parameters.

Keywords:
adaptationdecompositiondifferential evolutionparameter extractionphotovoltaic model

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Area of Science:

  • Renewable Energy Systems
  • Electrical Engineering
  • Computational Intelligence

Background:

  • Accurate photovoltaic (PV) models are crucial for PV system optimization.
  • Extracting parameters from PV models using manufacturer data is complex due to implicit and nonlinear characteristics.
  • Existing methods often require significant computational resources.

Purpose of the Study:

  • To develop an efficient method for photovoltaic (PV) parameter extraction.
  • To reduce the computational resources required for PV model parameterization.
  • To improve the accuracy and reliability of PV models.

Main Methods:

  • An advanced differential evolution algorithm is employed as the core solver.
  • A search space decomposition technique is introduced to reduce problem dimensionality and complexity.
  • The proposed method is validated using three different PV cell models.

Main Results:

  • The search space decomposition technique significantly enhances the effectiveness of differential evolution for PV parameter extraction.
  • The proposed approach achieves accurate and reliable PV model parameters.
  • The method demonstrates a substantial reduction in computational resource requirements compared to existing techniques.

Conclusions:

  • The developed advanced differential evolution with search space decomposition is an effective and computationally efficient method for PV parameter extraction.
  • This approach offers a promising solution for optimizing PV systems by providing reliable PV models with minimal resource usage.
  • The findings highlight the importance of search space decomposition in improving optimization algorithms for complex engineering problems.