A simplified and fast computing photovoltaic model for string simulation under partial shading condition

Tools

Ayop, R, Tan, CW, Mahmud, MSA, Syed Nasir, SN, Al-Hadhrami, T ORCID: https://orcid.org/0000-0001-7441-604X and Bukar, AL, 2020. A simplified and fast computing photovoltaic model for string simulation under partial shading condition. Sustainable Energy Technologies and Assessments, 42: 100812. ISSN 2213-1388

[thumbnail of 1367093_a1172_Al-Hadhrami.pdf]

Preview

Text
1367093_a1172_Al-Hadhrami.pdf - Post-print
Download (5MB) | Preview

Official URL: https://doi.org/10.1016/j.seta.2020.100812

Abstract

The photovoltaic (PV) model allows the current–voltage characteristic curves of the PV module to be represented in the simulation, which is important in the development of the PV generation system. Nevertheless, the current single PV model is not able to receive multiple irradiance and temperature input to simulate the partial shading condition. The conventional PV model with the partial shading capability requires several PV models that are connected with a bypass diode in parallel to each PV model. As a result, the computation time becomes high and the adaptability of this model is low since it requires a circuit simulation software. This paper presents an adjuster that allows a standard PV model to have partial shading capability. The proposed PV model is only applicable for the series configuration only. The single diode model with a series resistance is used to design the PV model in MATLAB/Simulink and the results have been compared and analysed with the conventional PV model. From the results, it has shown that the proposed PV model is able to be executed up to 46 times faster in computation time compared to the conventional PV model while maintaining the maximum power point error below 4%.

Item Type:	Journal article
Publication Title:	Sustainable Energy Technologies and Assessments
Creators:	Ayop, R., Tan, C.W., Mahmud, M.S.A., Syed Nasir, S.N., Al-Hadhrami, T. and Bukar, A.L.
Publisher:	Elsevier
Date:	December 2020
Volume:	42
ISSN:	2213-1388
Identifiers:	Number Type 10.1016/j.seta.2020.100812 DOI S221313882031239X Publisher Item Identifier 1367093 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	16 Sep 2020 10:46
Last Modified:	14 Sep 2022 03:00
URI:	https://irep.ntu.ac.uk/id/eprint/40747