Sensitivity analysis of the reduced forms of the one‐diode model for photovoltaic devices

Coco, S.; Laudani, Antonino; Lozito, Gabriele Maria; Fulginei, Francesco Riganti; Salvini, Alessandro

doi:10.1002/jnm.2327

Cited by 5 publications

(4 citation statements)

References 26 publications

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“…A strategy to robustly identify the five-parameter model was proposed in [ 23 ]. On the other hand, the process of the measurement of the current–voltage curve and identification of the five-parameter model is surely a more effective strategy (for example, employing reduced forms or the TSLLS method [ 24 ]), even if requires tailored equipment for measurements, leading to a more complicated procedure.…”

Section: Methodsmentioning

confidence: 99%

Irradiance Sensing through PV Devices: A Sensitivity Analysis

Laudani

Lozito

Fulginei

2021

Sensors

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In this work, a sensitivity analysis for the closed-form approach of irradiance sensing through photovoltaic devices is proposed. A lean expression to calculate irradiance on a photovoltaic device, given its operating point, temperature and equivalent circuit model, is proposed. On this expression, the sensitivity towards errors in the measurement of the photovoltaic device operating point and temperature is analyzed, determining optimal conditions to minimize sensitivity. The approach is studied for two scenarios, a stand-alone sensor and irradiance sensing on an operating power-producing photovoltaic device. A low-cost realization of a virtual sensor employing the closed form for monitoring performance of photovoltaic module is also presented, showing the advantage of this kind of simple solution. The proposed solution can be used to create a wireless sensor network for remote monitoring of a photovoltaic plant, assessing both electrical and environmental conditions of the devices in real time.

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Section: Methodsmentioning

confidence: 99%

Irradiance Sensing through PV Devices: A Sensitivity Analysis

Laudani

Lozito

Fulginei

2021

Sensors

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“…For the presented methodology, A inf is defined as indicated by Eq. (35). In this way, it is ensured the computation of the contour of the SDM region.…”

Section: Analysis On Synthetic Datamentioning

confidence: 99%

“…On the same line, two related works have been published that provide additional details on this new methodology and how to use it on real data [33,34]. After some years, in 2019 Coco et al [35] performed a sensitivity analysis of the reduced form proposed by Laudani. Coco et al found that a good value n is located near its upper limit.…”

Section: Solutions For the Sdmmentioning

confidence: 99%

On the parameters domain of the single-diode model

Cárdenas-Bravo,

Dutykh,

Lespinats

2023

Preprint

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The I-V curves of solar photovoltaic (PV) systems have been widely used as a tool to determine their electrical operation. Usually, I-V curves are described by means of three cardinal points: the short-circuit point ( 0 , I sc ) , the open-circuit point ( V oc , 0 ) , and the maximum power point ( V mp , I mp ) . In this context, to study the I-V curves, the Single-Diode Model (SDM) is often used. In this manuscript, we present a practical approach for determining the parameters domain of the SDM given a set of cardinal points. An in-depth mathematical analysis showed that the cardinal points must satisfy the following inequalities V oc / 2 < V mp < V oc and I sc / 2 < I mp < I sc . Then, it is possible to implicitly represent the SDM by means of one single parameter in a thoroughly chosen coordinate space. Based on these theoretical results, a fast computational algorithm for calculating the SDM parameters limits is proposed. The algorithm has been computer-tested using 40 000 synthetically generated maximum power points which are processed in about one minute of the CPU time on a standard laptop computer. Moreover, as a practical application, the California Energy Commission database is analyzed using the proposed algorithm.

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“…Thoroughly discussed examples of application are also given, which include a complete testability analysis and a novel parameter identification algorithm for electromagnetic harvesters. Lastly, Coco et al present a sensitivity analysis for the one‐diode model used to represent photovoltaic devices. An analytic study of the sensitivity of the model parameters against datasheet parameters is proposed, along with a strategy to make robust the extraction of parameters from rough data.…”

mentioning

confidence: 99%