Programmable energy source emulator for photovoltaic panels considering partial shadow effect
Cheng-Chuan Chen,
Hong-Chan Chang,
Cheng-Chien Kuo and
Chien-Chin Lin
Energy, 2013, vol. 54, issue C, 174-183
Abstract:
The aim of this paper is to study and produce a programmable emulator for photovoltaic panels. A uniform solar illumination model, a partially shaded model with two photovoltaic modules in series and a partially shaded model with two photovoltaic modules in parallel are proposed in this paper. Solar illumination and ambient temperature can be set on the emulator to emulate the behavior of a photovoltaic panel and to explore the effect of its being polluted by dust, shaded by clouds or solar oblique incidence. When making the physical models, a digital signal processor is used to calculate the quiescent points of the photovoltaic panels according to the load resistance and characteristics of the photovoltaic panels, and a DC (direct current)/DC buck power converter is adopted to adjust the output of the emulator in accordance with the quiescent points. To reduce the DSP's (digital signal processor) calculation burden, a characteristic curve segmentation method is proposed. This study successfully develops a 300 W/60 V emulator for photovoltaic panels under uniform solar illumination and partially shaded conditions. The load is changed over and over again so as to sketch the V–P curve and confirm the feasibility of the emulator.
Keywords: Buck converter; Characteristic curve segmentation; Digital signal processor; Partially shaded; Photovoltaic panel (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544213000911
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:54:y:2013:i:c:p:174-183
DOI: 10.1016/j.energy.2013.01.060
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().