Parameters estimation of photovoltaic module using nonlinear least square algorithm: A comparative study

Nayak, Byamakesh; Mohapatra, Alivarani; Mohanty, Kanungo Barada

doi:10.1109/indcon.2013.6726120

Cited by 38 publications

(23 citation statements)

References 13 publications

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“…Table 2 shows the comparison results of some examined works and the proposed method. The parameter values of [40,41,43,44] were taken by [47], which were extracted from the datasheet curves. In [48], there are two types of parameters extracted: from the STC values of the datasheet and extracted by the curve fitting method.…”

Section: Resultsmentioning

confidence: 99%

“…Multiple studies in the literature present methods to extract these parameters for the single-diode model and Chin et al [15] presented a review on existing models. There are many types of methods and they are based on experimental [16,20,35,37], numerical, and optimization techniques [17][18][19][22][23][24][25][26][27][28][29][30][31][32][33][34]36,[38][39][40][41][42][43][44]47,49] or combinations of these [21,45,46,48].…”

Section: State Of the Art On Methods For Parameter Estimationmentioning

confidence: 99%

“…Silva et al [47] expose the disadvantages of some methods [40,41,43,44] with respect to their proposed model. Mahmoud's method [41] has a problem in neglecting the influence of R p or R s .…”

Section: State Of the Art On Methods For Parameter Estimationmentioning

confidence: 99%

“…Villalva [40] is accurate near the MPP but may be inaccurate in other regions. The method proposed by Nayak [43] could remain locked in a local minimum, which does not represent the set of parameters during iterations. The Accarino's method [44] has a solution for a more accurate calculation, but in this work is stated that this method is not accurate.…”

Section: State Of the Art On Methods For Parameter Estimationmentioning

confidence: 99%

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A New Simplified Five-Parameter Estimation Method for Single-Diode Model of Photovoltaic Panels

et al. 2019

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This work proposes a new simplified five-parameter estimation method for a single-diode model of photovoltaic panels. The method, based on an iterative algorithm, is able to estimate the parameter of the electrical single-diode model from the panel’s datasheet. Two iterative steps are used to estimate the five parameters starting from data provided by the manufacturer (nameplate values or I–V curves). The first step permits finding the optimal value of the diode ideality factor A, and the second step allows the calculation of the Rp value to improve the accuracy. A model that takes into account variations in temperature and solar irradiance has been used to validate the behavior of the output parameters. Compared to other estimation work, the proposed method shows the best result in the standard test condition (STC) and with a variable solar irradiance. Indeed, the optimization of the A, Rs, and Rp parameters allows guaranteeing the minimum error between I–V curves obtained from method and datasheet.

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Section: Resultsmentioning

confidence: 99%

Section: State Of the Art On Methods For Parameter Estimationmentioning

confidence: 99%

Section: State Of the Art On Methods For Parameter Estimationmentioning

confidence: 99%

Section: State Of the Art On Methods For Parameter Estimationmentioning

confidence: 99%

See 2 more Smart Citations

A New Simplified Five-Parameter Estimation Method for Single-Diode Model of Photovoltaic Panels

et al. 2019

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“…Unfortunately, experimental data for different environmental conditions are not available in the datasheet and must be obtained through measurement. The second approach uses equations derived from PV models and information readily available from the datasheet to extract the parameters [13]. For this approach, three data points namely the open circuit voltage, short circuit current and MPP are used.…”

Section: A Methods For Parameters Evaluationmentioning

confidence: 99%

Matlab/Simulink model of photovoltaic modules/strings under uneven distribution of irradiance and temperature

Celsa

Tina

2015

IREC2015 the Sixth International Renewable Energy Congress

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Quite often PV modules operate in mismatch conditions, that are caused by: technology, design, installation and operative conditions. As far as the operative conditions are concerned, shading mainly causes uneven distribution of irradiance on PV cells, in turn shading creates not uniform distribution of temperature on the PV modules. There are also situation where the uneven distribution of temperature is a design input such as in the solar hybrid photovoltaic/thermal (PV/T) system. In this context a Matlab/Simulink model of a PV array able to cope with these problems has been developed. The model has been tested both numerically and experimentally. Finally an application of this tool to the analysis of a PV/T system is reported and discussed. The evaluation of power losses is used to choose an optimal design of a PV/T system.

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Parameter Estimation of Photovoltaic Module Using Sine Cosine Algorithm

Mohapatra¹,

Saiprakash²,

Nayak³

et al. 2022

Lecture Notes in Networks and Systems

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Parameters estimation of photovoltaic module using nonlinear least square algorithm: A comparative study

Cited by 38 publications

References 13 publications

A New Simplified Five-Parameter Estimation Method for Single-Diode Model of Photovoltaic Panels

A New Simplified Five-Parameter Estimation Method for Single-Diode Model of Photovoltaic Panels

Matlab/Simulink model of photovoltaic modules/strings under uneven distribution of irradiance and temperature

Parameter Estimation of Photovoltaic Module Using Sine Cosine Algorithm

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