Method for determining an electrical model of a string of photovoltaic modules, diagnostic method and device associated therewith

US2020151379A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2020151379-A1
Application numberUS-201916682807-A
CountryUS
Kind codeA1
Filing dateNov 13, 2019
Priority dateNov 14, 2018
Publication dateMay 14, 2020
Grant date

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Abstract

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A method for determining an electrical model of a string of photovoltaic modules from a characteristic I(V) of the string includes detecting a first linear zone and a second linear zone of the characteristic I(V); initialising the parameters of a non-by-pass electrical model corresponding to a first operating condition, called a non-by-pass condition; optimising the parameters of the non-by-pass electrical model from a reference characteristic I(Vref) equal to I(V), determining the parameters of the electrical model corresponding to a second operating condition, called a by-pass condition, in order to obtain a by-pass electrical model from the characteristic determining, from the characteristic I(V) the best model among the non-by-pass model and the by-pass model.

First claim

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1 . A method for determining an electrical model of a string of photovoltaic modules from a characteristic I-V of said string and a non-by-pass model corresponding to a first operating condition of the string, called a non-by-pass condition, given by the following equation: Y = I ph - W th + R s × Y R p - I 0 × ( e W th + R s × Y N - 1 ) with I ph the photocurrent, R s the series resistance, R p the parallel resistance, I 0 the dark current of the diode, N = k q × N s × T ideal with T ideal ∈[200,300], N s the number of series cells in the string, k b is the Boltzmann's constant and q is the elementary charge of a proton, Y the current passing through the string and W th the voltage across the string; and a by-pass model corresponding to a second operating condition of the string, called a by-pass condition and given by the following equation: W mod ( Y )= W 1 ( Y )+ W 2 ( Y ) with W mod the voltage across the string according to the by-pass model for the current Y, W 1  ( Y ) = ( 1 - P d ) × W th  ( Y )   and   W 2  ( Y ) = P d × W th  ( Y 1 - P I ) where W th (Y) is the voltage across the string given by the non-by-pass model, P d the by-pass diode proportion and P I the short-circuit current loss proportion induced by the by-pass, the method comprising: a step of detecting a first linear zone and a second linear zone of the characteristic I-V; a step of initialising the parameters of the non-by-pass electrical model from the characteristic I-V; a step of optimising the parameters of the non-by-pass electrical model from a reference characteristic I(V ref ) equal to I(V); a step of determining the parameters of the by-pass electrical model, in order to obtain a by-pass electrical model from the characteristic I-V; a step (E 6 ) of determining, from the characteristic I-V, the best model from the non-by-pass model and the by-pass model. 2 . The method according to claim 1 , further comprising, before the step of detecting the linear zones of the characteristic I-V, a step of checking the data of the characteristic I-V. 3 . The method according to claim 2 , wherein the step of checking the data of the characteristic I-v comprises at least one of both following sub-steps: a sub-step of detecting the switching period of the string, the data measured outside the switching period being removed; a sub-step of removing the outliers. 4 . The method according to claim 1 , wherein the step of detecting a first linear zone and a second linear zone of the characteristic I-V comprises: a sub-step of determining the maximum power point (I MPP , V MPP ), the points of the characteristic I-V located above the straight line passing through the origin (0,0) and the point (I MPP , V MPP ) being considered as candidates for the first linear zone, and the points located below this straight line being considered as candidates for the second linear zone; a sub-step of determining the linear model of the current Y as a function of the voltage W across the string such that Y=a sc ×W+b sc from the candidate points for the first linear zone and the linear model of the voltage W across the string as a function of the current Y such that W=a oc ×Y+b oc from the candidate points for the second linear zone, so as to determine the parameters a sc , b sc , a oc and b oc . 5 . The method according to claim 4 , wherein during the step of initialising the parameters of the non-by-pass electrical model, the parameters of the electrical model I ph , R s , R p , I 0 and N are initialised in the following way: R p is given by

Assignees

Inventors

Classifications

  • G06F30/367Primary

    Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods · CPC title

  • Power analysis or power optimisation · CPC title

  • Testing of PV devices, e.g. of PV modules or single PV cells (testing of semiconductor devices during manufacturing {H10P74/00}) · CPC title

  • Numerical modelling · CPC title

  • G06F30/00Primary

    Computer-aided design [CAD] · CPC title

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What does patent US2020151379A1 cover?
A method for determining an electrical model of a string of photovoltaic modules from a characteristic I(V) of the string includes detecting a first linear zone and a second linear zone of the characteristic I(V); initialising the parameters of a non-by-pass electrical model corresponding to a first operating condition, called a non-by-pass condition; optimising the parameters of the non-by-pas…
Who is the assignee on this patent?
Commissariat Energie Atomique
What technology area does this patent fall under?
Primary CPC classification G06F30/367. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu May 14 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).