Complete Parasitic Capacitance Model of Photovoltaic Panel Considering the Rain Water

Chinese Journal of Electrical Engineering ›› 2017, Vol. 3 ›› Issue (3): 77-84.

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Complete Parasitic Capacitance Model of Photovoltaic Panel Considering the Rain Water

Shaolin Yu, Jianing Wang^*, Xing Zhang, Fei Li

School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

Online:2017-09-25 Published:2019-11-01
Contact: * E-mail: jianingwang@hfut.edu.cn.
About author:Shaolin Yu was born in Jiangsu, China, in 1992. He received the B.S. degree in electrical engineering from the School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China, in 2015. He is currently working toward the M.S. degree in electric engineering and automation in Hefei University of Technology. His current research interests include parasitic parameters of some key components in photovoltaic system, the integration of power electronics converters. Jianing Wang (S’08-M’11) was born in Anhui, China. He received the M.S. degree in power electronics from power electronics and renewable energy center (PEREC) in Xi’an Jiaotong University, Xi’an, China, in 2010, and received the doctor degree in the Electrical Power Processing Group (EPP), Faculty of Electrical Engineering, Delft University of Technology, Delft, The Netherlands, in 2014. At the end of 2014 he became an Associate Professor at Hefei University of Technology, Hefei, China. He was the deputy secretary of ECCE ASIA 2016, Hefei, and became member of China power supply society (CPSS) since then. He was also the associate editor of the Chinese Journal of Electrical Engineering since 2016. His current research interests include the integration of power electronics converters, the application of wide bandgap power devices, and the analysis of parasitics in converters and PV modules. Xing Zhang (M’13-SM’14) was born in Shanghai, China, in 1963. He received the B.S., M.S. and Ph.D. degrees in electric engineering and automation from Hefei University of Technology, Hefei, China, in1984, 1990, and 2003, respectively. Since 1984, he has been a Faculty Member of the School of Electric Engineering and Automation, Hefei University of Technology, where he is currently a Professor and is also at the Photovoltaic Engineering Research Center of Ministry of Education. His main research interests include photovoltaic generation technologies, wind power generation technologies, and distributed generation system. Fei Li (S'13-M'15) was born in Anhui, China. He received the Ph.D. degrees in electrical engineering and automation from Hefei University of Technology, Hefei, China, in 2015. His current research interests include filter topology and parameter design, harmonic mitigation in parallel converter systems, and photovoltaic generation technologies.

Abstract

Abstract: Common mode current suppression is important to grid-connected photovoltaic (PV) systems and depends strongly on the value of the parasitic capacitance between the PV panel and the ground. Some parasitic capacitance models have been proposed to evaluate the magnitude of the effective parasitic capacitance. However, the proposed model is only for the PV panels under dry and clean environmental conditions. The dependence of rain water on the capacitance is simply described rather than analyzing in detail. Furthermore, the effects of water are addressed quite differently in papers. Thus, this paper gives complete parasitic capacitance model of the PV panel considering the rain water. The effect of the water on the capacitance is systematically investigated through 3D finite element (FE) electromagnetic (EM) simulations and experiments. Accordingly, it is clarified how the water affects the parasitic capacitance and methods of minimization of the capacitance are proposed.

Key words: Parasitic capacitance, photovoltaic panel, water, 3D FE EM analysis, electromagnetic field

Shaolin Yu, Jianing Wang, Xing Zhang, Fei Li. Complete Parasitic Capacitance Model of Photovoltaic Panel Considering the Rain Water[J]. Chinese Journal of Electrical Engineering, 2017, 3(3): 77-84.

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Complete Parasitic Capacitance Model of Photovoltaic Panel Considering the Rain Water

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