A method for extracting solar cell parameters based on phasmatodea population evolution algorithm
Date
2022
Authors
Tian, A.Q.
Liang, A.H.
Chu, S.C.
Xu, L.
Pan, J.S.
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Chu, S.-C.
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Book chapter
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Event/exhibition information: 17th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2021, in conjunction with the 14th International Conference on Frontiers of Information Technology, Applications and Tools, FITAT 2021, Kaohsiung, 29/10/2021-31/10/2021
Source details - Title: Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2022 / Chu, S.-C. (ed./s), vol.277, Ch.23, pp.225-235
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Abstract
Solar energy as clean energy has become a hot spot for many scholars to study. In recent years, the development of society needs more massive power support, so the study of solar energy is very necessary. The simulation model of electric energy can be used to study the precise performance and parameter control of solar energy. In this paper, the simulation modeling is carried out for the original solar power generation, and the actual current–voltage values are used to extract the parameter values inside the solar cell using a recently proposed Phasmatodea population evolution (PPE) algorithm. The experimental results show that the newly proposed PPE algorithm has a good performance in solar cell parameter extraction
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Copyright 2022 The author(s) under exclusive license to Springer Nature