Parameter identification of photovoltaic models using a sine cosine differential gradient based optimizer-Reference-Cited by-同舟云学术

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Parameter identification of photovoltaic models using a sine cosine differential gradient based optimizer

Published:2022-03-25 Issue:8 Volume:16 Page:1535-1561
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Gen

Author:

Yu Sudan¹,Chen Zhiqing²,Heidari Ali Asghar³,Zhou Wei¹,Chen Huiling¹^ORCID,Xiao Lei¹

Affiliation:

1. College of Computer Science and Artificial Intelligence Wenzhou University Wenzhou China

2. Department of Electrical and Electronic Engineering Wenzhou Polytechnic Wenzhou China

3. School of Surveying and Geospatial Engineering College of Engineering University of Tehran Tehran Iran

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.12451

Reference135 articles.

1. Parameter identification of solar cells using artificial bee colony optimization

2. Review on sun tracking technology in solar PV system

3. Parameter estimation of solar photovoltaic (PV) cells: A review

4. A systematic analysis of meteorological variables for PV output power estimation

5. Modeling of PV system and parameter extraction based on experimental data: Review and investigation

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