A simplified and comprehensive approach to characterize photovoltaic system performance

ALQahtani, Ayedh H.; Abuhamdeh, Muthanna S.; Alsmadi, Yazan M.

doi:10.1109/energytech.2012.6304628

Cited by 17 publications

(9 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, sometimes the only information available to adjust the selected circuit model comes from the manufacturer, and it is limited to only certain points of the I-V curve (short circuit, open circuit, and maximum power points, see Fig. 1) [8,18,[34][35][36][37][38]. Finally, with regard to the methods developed to adjust the parameters of the selected circuit model, some of them are numerical [14,15,19,20,39,40] whereas some others are analytical [2,41 -43].…”

Section: Introductionmentioning

confidence: 99%

On the analytical approach for modeling photovoltaic systems behavior

Cubas

Pindado

Victoria

2014

Journal of Power Sources

216

176

View full text Add to dashboard Cite

The l-diode/2-resistors electric circuit equivalent to a photovoltaic system is analyzed. The equations at particular points of the l-V curve are studied considering the maximum number of terms. The maximum power point as a boundary condition is given special attention. A new analytical method is developed based on a reduced amount of information, consisting in the normal manufacturer data. Results indicate that this new method is faster than numerical methods and has similar (or better) accuracy than other existing methods, numerical or analytical.

show abstract

Section: Introductionmentioning

confidence: 99%

On the analytical approach for modeling photovoltaic systems behavior

Cubas

Pindado

Victoria

2014

Journal of Power Sources

216

176

View full text Add to dashboard Cite

show abstract

“…To find the relation of ideality factor and series resistance under varying values of T , (14) and (15) provide improvements to the existing model The band gap energy and the thermal voltage dependency of temperature is given by…”

Section: Modeling Of the Pv Systemmentioning

confidence: 99%

“…This model on its own is not able to simulate the characteristics of the PV system for various temperatures and irradiation. The presented method in [14] characterizes the PV performance, but it does so only under fixed STC conditions. For instance, it is able to simulate all PV responses for 1000 W/m 2 for different temperatures and again for temperature of 25 • C and various irradiances, but in case both temperature and irradiance are outside the STC condition, it fails to determine the response.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Health Monitoring of DC Side of Photovoltaic Array

Akram

Lotfifard

2015

IEEE Trans. Sustain. Energy

141

View full text Add to dashboard Cite

In this paper, a health monitoring method for photovoltaic (PV) systems based on probabilistic neural network (PNN) is proposed that detects and classifies short-and opencircuit faults in real time. To implement and validate the proposed method in computer programs, a new approach for modeling PV systems is proposed that only requires information from manufacturer's datasheet reported under normal-operating cell temperature (NOCT) conditions and standard-operating test conditions (STCs). The proposed model precisely represents characteristics of PV systems at different temperatures, as the temperature dependency of parameters such as ideality factor, series resistance, and thermal voltage is considered in the proposed model. Although this model can be applied to a variety of applications, it is specifically used to test and validate the performance of the proposed fault detection and classification method. Index Terms-Fault detection, monitoring systems, photovoltaic (PV) modeling, probabilistic neural network (PNN).

show abstract

“…Those parameters are usually determined on the basis of experimental data or data provided from manufacturers . Other kinds of models that depend on different parameters and configurations have been proposed . In , the two‐diode model of the PV cell was proven to have better accuracy at low irradiance levels but at the expense of a peripherally lengthier simulation time than the single‐diode case.…”

Section: Introductionmentioning

confidence: 99%

“…In , the two‐diode model of the PV cell was proven to have better accuracy at low irradiance levels but at the expense of a peripherally lengthier simulation time than the single‐diode case. In , an analytical expression was proposed for the PV model with some modifications for temperature and irradiance dependence of manufacturer's values, which did not depend on the calculation of the five parameters.…”

Section: Introductionmentioning

confidence: 99%

The effect of modeling types characterization for PV power source on maximum power point tracking

Atawi

Besheer

2016

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

This paper deals with the problem of energy transfer maximization between a solar power source side and the load demand side. Owing to the multitude of mathematical models in the literature that claim to represent the behavior of the photovoltaic module, the work here is to throw light on the importance of choosing a proper mathematical model of the photovoltaic module for the above-mentioned context with the target of enlarging the energy yield from such a generator system irrespective changing environmental conditions. First, a comparison between four mathematical models based on a single-diode representation for photovoltaic generation source is presented. The objective of this analysis is to compute the errors between these models and the experimental data in predicting the maximum power point. Then an easy-to-implement tracking method for working on the maximum power point is assumed. The idea of this maximum power point tracking technique is to blend two conventional algorithms, namely incremental conductance and fractional open-circuit voltage, in such a way as to improve the starting period of the normal incremental conductance algorithm, so that fast and accurate convergence can be achieved. A comparison between the dynamic control performances of the studied four different kinds of the single-diode model under the maximum power condition is performed, and the impact of increasing the complexity of the single-diode model commonly utilized to represent photovoltaic cell/module under the energy transfer maximization constraint for autonomous generation applications is finally explored. The paper extends and complements our recently published results in the literature.

show abstract

A simplified and comprehensive approach to characterize photovoltaic system performance

Cited by 17 publications

References 13 publications

On the analytical approach for modeling photovoltaic systems behavior

On the analytical approach for modeling photovoltaic systems behavior

Modeling and Health Monitoring of DC Side of Photovoltaic Array

The effect of modeling types characterization for PV power source on maximum power point tracking

Contact Info

Product

Resources

About