An accurate approach for modeling I-V characteristics of photovoltaic generators based on the two-diode model

Tifidat, Kawtar; Maouhoub, Noureddine; Benahmida, Abdelaaziz; Salah, Fatima Ezzahra Ait

doi:10.1016/j.ecmx.2022.100205

Cited by 16 publications

(17 citation statements)

References 31 publications

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“…Wherein series and parallel resistances are integrated into the DC current source, PV cells can be studied practically to better comprehend their characteristics and performance under real and dynamic situations. To account for environmental factors' impact on PV cell characteristics, the study employs a 2-diode model [25]. Figure 1 illustrates the circuit setup, the simplified model comprises a controlled current source, along with series and parallel resistances, as well as two anti-parallel diodes.…”

Section: Modeling Of Pv Cellsmentioning

confidence: 99%

Performance improvement of PV systems during dynamic partial shading conditions using optimization algorithms

Sonam Soma,

R.,

2024

TESEA

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PV power plants encounter varying levels of irradiance, temperature fluctuations, and partial shading because of the differences in sunlight conditions. Partial shading can cause an increase in the power loss, leading to a reduction in efficiency. Maximum Power Point Tracking (MPPT) is of utmost importance in the functioning of photovoltaic (PV) systems for electricity generation because it is indispensable for maximizing power extraction from PV modules, thereby increasing the overall power output. In situations where partial shading is present, the utilization of MPPT algorithms to achieve maximum power output becomes complex because of the existence of multiple distinct peak power points, each having a unique local optimum. To overcome this issue, a method is proposed that uses Darts Game Optimization (DGO), a game-based optimization process, to efficiently determine and extract the maximum power from various local optimal peaks. A population-based optimization method known as the Darts Game Optimization algorithm exists. In this approach, the optimization process begins by creating a population of random players. Then, the algorithm iteratively updates and improves the population to search for the best player or solution. In this study, the DGO algorithm was applied to the MPPT process for voltage optimization in the PV procedure. The DC-DC converter is utilized to capture the maximum available power, and the findings demonstrate that the DGO algorithm efficiently identifies the global maximum, resulting in accelerated convergence, reduced settling time, and minimized power oscillation. Through simulations, the feasibility and effectiveness of the DGO centered MPPT approach was confirmed and compared with MPPT algorithms relying on perturb and observe (P&O) and Particle Swarm Optimization (PSO). The simulation results offer compelling evidence that the DGO algorithm, as proposed in this study, proficiently traces the global maximum, thereby substantiating its practicality and efficiency.

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Section: Modeling Of Pv Cellsmentioning

confidence: 99%

Performance improvement of PV systems during dynamic partial shading conditions using optimization algorithms

Sonam Soma,

R.,

2024

TESEA

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“…4,21,22 Other more advanced models use two, three, or even more diodes for improved accuracy at low irradiance. [23][24][25] This model includes the same circuitry as shown in Figure 1 and a group of five parameters: the photocurrent I ph , the saturation current I s , the ideality factor n, the shunt resistance R p and the series resistance R s .…”

Section: The Single-diode Pv Modelmentioning

confidence: 99%

“…Due to its simplicity, the single‐diode model, which was historically the primary PV model initially established for monocrystalline silicon PV cells, is still the most often used model in the literature 4,21,22 . Other more advanced models use two, three, or even more diodes for improved accuracy at low irradiance 23‐25 . This model includes the same circuitry as shown in Figure 1 and a group of five parameters: the photocurrent I ph , the saturation current I s , the ideality factor n, the shunt resistance R p and the series resistance R s .…”

Section: The Single‐diode Pv Modelmentioning

confidence: 99%

An accurate analytical model for predicting the maximum power of photovoltaic module operating outdoor under varying conditions

Benahmida

Maouhoub

Tifidat

et al. 2022

Intl J of Energy Research

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Summary One of the crucial study areas for renewable energy is the output power prediction of photovoltaic (PV) generators under various operating situations. Accurate prediction of maximum power is important for the control and design of grid‐connected PV systems. In this study, a new analytical model of voltage and current at maximum power point in relation to temperature and solar irradiation has been proposed to predict the maximum power of PV modules operating from dawn to dusk under real outdoor environmental conditions. Real‐time monitoring values of PV module temperature and solar irradiation have been used to optimize the analytical model parameters during one reference day and then to forecast the maximum power of the PV module for all other days. To validate our proposed analytical model, experimental data recorded by National Renewable Energy Laboratory for three PV modules from single‐crystalline silicon, multi‐crystalline silicon, and amorphous silicon/crystalline silicon heterojunction with intrinsic thin‐layer technologies have been used. Real‐time experimental and optimized characteristic using the proposed model of voltage at maximum power has been compared to three other analytical models in one reference day. The results have shown a good agreement and the normalized error has not exceeded 1%. Furthermore, the comparison of experimental and predicted curves of peak power point in two other arbitrary days has shown a good agreement and the NRMSE values have not exceeded 0.92%.

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“…The ideality factor indicates how closely the properties of the diode match the ideal properties, and it approaches n = 2 if the recombination process dominates. A bad choice of this value in the parameter extraction process can seriously affect the accuracy of the model or provide parameter values that lead to good fitting of the I-V characteristic but lack physical meaning [31,32]. In the hybrid method proposed by Chennoufi et al [31], the sum of n 1 and n 2 is assumed to be higher than or equal to three, based on [33], and two iterative processes, the first one to adjust the series resistance and the second one to adjust n 1 and n 2 , are carried out.…”

Section: Introductionmentioning

confidence: 99%

“…In the hybrid method proposed by Chennoufi et al [31], the sum of n 1 and n 2 is assumed to be higher than or equal to three, based on [33], and two iterative processes, the first one to adjust the series resistance and the second one to adjust n 1 and n 2 , are carried out. In Tifidat et al [32], the ideality factors and the series resistance are found in the same iterative process, and the rest of parameters are calculated analytically. The values of n 1 and n 2 , which are supposed to be close to 1 and 2, respectively, are initialized in each iteration.…”

Section: Introductionmentioning

confidence: 99%

Solar Cell Parameter Extraction Method from Illumination and Dark I-V Characteristics

et al. 2022

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A novel method to extract the seven parameters of the double-diode model of solar cells using the current–voltage (I-V) characteristics under illumination and in the dark is presented. The algorithm consists of two subroutines which are alternatively run to adjust all the parameters of the cell in an iterative process. Curve fitting of the light I-V characteristics ensures accuracy in the prediction of the maximum power point, whereas simultaneously fitting the dark I-V characteristics results in a set of physically meaningful parameters that provide information about the physical performance of the photovoltaic devices. Experimental I-V curves of in-house solar cells are used to validate the proposed parameter extraction method, which can be furthermore applied to other types of p–n junction-based photovoltaic devices.

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An accurate approach for modeling I-V characteristics of photovoltaic generators based on the two-diode model

Cited by 16 publications

References 31 publications

Performance improvement of PV systems during dynamic partial shading conditions using optimization algorithms

Performance improvement of PV systems during dynamic partial shading conditions using optimization algorithms

An accurate analytical model for predicting the maximum power of photovoltaic module operating outdoor under varying conditions

Solar Cell Parameter Extraction Method from Illumination and Dark I-V Characteristics

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