Online current-sensorless estimator for PV open circuit voltage and short circuit current.

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Date: Jan. 1, 2021
From: Solar Energy(Vol. 213)
Publisher: Elsevier Science Publishers
Document Type: Report; Brief article
Length: 353 words

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Abstract :

Keywords Photovoltaic systems; Open-circuit voltage; Short circuit current; Boost converter Highlights * A novel method to estimate PV panel's open-circuit voltage and short circuit current. * The proposed method can operate at any point of the P-V curve. * A new sensorless technique is proposed for estimation of PV panels's output current. * The improvement in tracking efficiency of FSSC and FOCV algorithms are investigated. Abstract The suggested paper presents a new method for the estimation of short circuit current (I.sub.sc) and open-circuit voltage (V.sub.oc) of the photovoltaic (PV) system. Moreover, a modified relation of reverse saturation current (I.sub.s) is used to prevent the wrong estimation of I.sub.sc and V.sub.oc values at any point of the P-V curve. In addition, a new current-sensorless method of PV current estimation is used to further reduce the cost of the proposed technique. The accuracy of the proposed method is checked by testing on three different PV panels such as Yingli 245C-30b, Sharp NT-180U1, and Risen SYP-110S. Moreover, the fractional short circuit current (FSSC) and fractional open-circuit voltage (FOCV) algorithms are also implemented using the proposed and conventional analytical method and their results are compared with each other. The proposed method is validated in the Matlab/Simulink and hardware experimentation. The results of the proposed method indicate the following advantages: (1) accurate prediction of the I.sub.sc and V.sub.oc values at any point of the P-V curve, (2) interruption free output power during the I.sub.sc and V.sub.oc measurement, (3) accurate sensorless estimation of PV current, 4) no overshoot and undershoot in the tracked power of PV module, and 5) significant improvement in tracking efficiency by 38.33% for the FSSC algorithm and 28.2% for the FOCV algorithm, compared to the conventional analytical method. Author Affiliation: (a) Faculty of Electrical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi 23460, Pakistan (b) Department of Electrical Engineering, University of Central Punjab, Lahore 54000, Pakistan * Corresponding author. Article History: Received 20 August 2020; Revised 16 October 2020; Accepted 3 November 2020 Byline: Ahsan Nadeem [ahsan.naddeem@giki.edu.pk] (a,*), Hadeed Ahmed Sher [hadeed@giki.edu.pk] (a), Ali Faisal Murtaza [ali.faisal@ucp.edu.pk] (b), Nisar Ahmed [nisarahmed@giki.edu.pk] (a)

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Gale Document Number: GALE|A648932502