Development of Real-Time Hotspot Detection System Utilizing Artificial Intelligence in PV Generation System-Reference-Cited by-同舟云学术

Development of Real-Time Hotspot Detection System Utilizing Artificial Intelligence in PV Generation System

Published:2020 Issue:0 Volume:32 Page:n/a
ISSN:0915-5651
Container-title:Journal of Advanced Science
language:en
Short-container-title:Journal of Advanced Science

Author:

ALHABIB Ali¹,ITAKO Kazutaka¹,KUDOH Tsugutomo¹

Affiliation:

1. Kanagawa Institute of Technology

Publisher

Society of Advanced Science

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jsas/32/0/32_32103/_pdf

Reference22 articles.

1. T. Ghanbari, “Permanent partial shading detection for protection of photovoltaic panels against hot spotting,” IET Renew. Power Gener., vol.11, no.1, pp. 123-131 (2017).

2. J. Poon, P. Jain, C. Spanos, S. K. Panda and S. R. Sanders, “Photovoltaic condition monitoring using real-time adaptive parameter identification,” in Proc. IEEE Energy Convs. Congr. and Expo., 2017, pp. 1119-1124.

3. D. Rossi, M. Omana, D. Giaffreda and C. Metra, “Modeling and detection of hotspot in shaded photovoltaic cells,” IEEE Trans. VLSI Syst., vol. 23, no. 6, pp. 1031-1039 (2015).

4. M. Dhimish, V. Holmes, P. Mather and M. Sibley, “Novel hot spot mitigation technique to enhance photovoltaic solar panels output power performance,” Solar Energy, vol. 179, pp. 72-79 (2018). Available: https://doi.org/10.1016/j.solmat.2018.02.019

5. K. Itako and T. Kudoh, “Study on Hotspot of a Single-crystal Photo-voltaic Module, ” J. Institute Electri. Installation Engi. of Japan, vol. 34, no. 2, pp. 140-146 (2014).

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