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Parameters Extraction of Solar Cell Using an Improved QUasi-Affine TRansformation Evolution (QUATRE) Algorithm

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Advances in Intelligent Systems and Computing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 268))

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Abstract

Solar simulation model is the mathematics of solar power generation; accurate mathematical model is a very important link in simulation, evaluation, control, and optimization. The model of solar power generation is affected by factors such as environment and light, and its solar model is often nonlinear. In addition, conventional solutions are often unable to accurately determine the exact values of unknown parameters. Meta-heuristic algorithms have received extensive attention in recent years. In this paper, the QUasi-Affine TRansformation Evolution (QUATRE) algorithm is partially improved, and the particle position is rearranged randomly, which to a certain extent prevents the algorithm from falling into the local optimal and more accurately approaching the theoretical optimal value of the algorithm. The improvement of QUARTER applies to the optimization of solar parameters. This article selects a commercial double diode model with a diameter of 57 mm. The result optimized by the improved QUATRE algorithm is promising and superior to other methods.

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Author information

Authors and Affiliations

  1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, China

    Jeng-Shyang Pan, Ai-Qing Tian & Shu-Chuan Chu

  2. College of Science and Engineering, Flinders University, Sturt Rd, Bedford Park, Adelaide, SA, 5042, Australia

    Shu-Chuan Chu

  3. Department of Electronic Engineering, National Kaohsiung University of Science and Technology, 415 Chien-Kung Road, Kaohsiung, 807, Taiwan

    Tien-Szu Pan

Authors
  1. Jeng-Shyang Pan
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  2. Ai-Qing Tian
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  3. Tien-Szu Pan
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  4. Shu-Chuan Chu
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Media Technology, Communication, University of Zhejiang, Hangzhou City, China

    Jie-Fang Zhang

  2. College of Computer Science and Engineering, Shandong University of Science and Technology, Shandong, China

    Chien-Ming Chen

  3. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China

    Shu-Chuan Chu

  4. Department of Radio Communications and Video Technologies, Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

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Pan, JS., Tian, AQ., Pan, TS., Chu, SC. (2022). Parameters Extraction of Solar Cell Using an Improved QUasi-Affine TRansformation Evolution (QUATRE) Algorithm. In: Zhang, JF., Chen, CM., Chu, SC., Kountchev, R. (eds) Advances in Intelligent Systems and Computing. Smart Innovation, Systems and Technologies, vol 268. Springer, Singapore. https://doi.org/10.1007/978-981-16-8048-9_24

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