A new integrated single‐diode solar cell model for photovoltaic power prediction with experimental validation under real outdoor conditions

Malik, Prashant; Chandel, S.S.

doi:10.1002/er.5881

Cited by 22 publications

(10 citation statements)

References 50 publications

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“…The highest limit of the electrical energy output (P m ) to the radiative energy input can be described as the efficiency of a solar cell (P in ) [13]. The efficiency of a system is measured in terms of its impact on the environment [14]. PV module manufacturers use standard test conditions to measure three primary components: cell temperature, radiation, and air mass.…”

Section: Introductionmentioning

confidence: 99%

Investigation the performance of PV solar cells in extremely hot environments

Hassan

Alqurashi

Salama

et al. 2022

J. Umm Al-Qura Univ. Eng.Archit.

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Manufacturers typically define photovoltaic (PV) modules under conventional test settings of 1000 W/m2 at 25 °C, which may not be possible anywhere in the globe, because high ambient temperature is one of the most critical factors affecting photovoltaic solar cell efficiency. In this study, we will investigate the ambient temperature as well as the open circuit voltage, output power, short circuit current, and efficiency in hot regions such as Mecca (Makkah). It also discusses the correlations between PV efficiency, solar radiation, and ambient temperature. On the other hand, the addition of a layer of copper sulphate at a concentration of 1% is investigated. The use of a copper sulphate layer enhanced the PV characteristic in cases where the PV cell temperature was reduced by around (0.3–34.6 °C), while also increasing the open circuit voltage, output power, efficiency, and fill factor.

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Section: Introductionmentioning

confidence: 99%

Investigation the performance of PV solar cells in extremely hot environments

Hassan

Alqurashi

Salama

et al. 2022

J. Umm Al-Qura Univ. Eng.Archit.

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“…Also, the fitness of all coot's leaders can be estimated using the OF as per (19). The Gbest score " and its position Gbest pos " is identified by (20).…”

Section: Cbmo Search Algorithm Proceduresmentioning

confidence: 99%

“…The one diodebased model (1DbM) is the simplest and the easiest one for implementation, whereas two and three diodes-based models (2DbM and 3DbM) have higher accuracies which can be used to get better precise prediction of PV systems performance. The mentioned different circuit models are studied by many researchers to determine exactly the PV currents, voltages, and power curves under different operation conditions [15]- [20]. Although, 1DbM is simple and straight forward, its accuracy begins affected and may be lost especially at low irradiance and/or higher temperatures.…”

Section: Introductionmentioning

confidence: 99%

Performance Assessment of Solar Generating Units Based on Coot Bird Metaheuristic Optimizer

et al. 2021

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In this paper, a comprehensive methodology based on coot bird metahurestic optimizer called CBMO is presented aiming to demonstrate the performance of solar units under various operating and loading scenarios. The CBMO is capable to deal with different complicated behavior in both harmonized or disorderly phases and can define its major parameters with proofed indicators. It can convey from exploration state to exploitation state to realize a fast and better convergence without trapping in local minima. At first stage of this effort, the optimal values of uncertain parameters of well-known benchmarking PV units under study are cropped with compulsory validations and comparisons. It can be mentioned here both single-and doublediode models of such units are utilized, and their unknown parameters are emphasized. Then, a Simulink detailed model is built-up employing the obtained parameters with various types of connected loads such as static resistive load and dynamic DC motor to appraise the operating performance of such units. It is worth mentioning that the performance of solar units under varied sun radiations and cell temperatures are made along the presented work. To sum up, it can be empathized that the CBMO performs well, and its results are very competitive to those available in the literature.

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“…For SDM, lots of metaheuristics have been developed to extract PV parameters such as ant lion optimizer [18], shuffled frog leaping algorithm [19], and simplified swarm optimization [17]. The experimental validation for single‐diode solar cell model has been developed in [20] for an Indian location under outdoor climatic conditions with the integration of three, four, and five solar cell parameters. In [21], a per unit single‐diode with an explicit nonlinear model has been presented, whereas two‐step linear least‐squares method with the intrinsic properties of the model equation has been manifested to extract the PV electrical parameters of SDM [18].…”

Section: Introductionmentioning

confidence: 99%

Estimation of electrical parameters of photovoltaic panels using heap‐based algorithm

Ginidi

Shaheen

El‐Sehiemy

et al. 2022

IET Renewable Power Gen

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Parameter estimation for solar photovoltaic (PV) models is a challenging issue due to the complex nonlinear multivariable of the current-voltage and power-voltage characteristics. In this article, an improved heap-based algorithm (IHBA) is proposed to improve the performance of a recently published algorithm called heap-based algorithm (HBA). The HBA's performance is enhanced by applying an effective exploitation feature to boost the searching around the leader position with the goal of enhancing its global search capabilities and avoiding becoming trapped in a local optimum. The proposed IHBA and the standard HBA are developed considering the practical limits of the electrical parameters of PV models to minimize the root mean square error (RMSE) between the experimental and simulated results. The numerical analyses for the PVM-752GaAs PV module including single-diode model (SDM), double-diode model (DDM) and triple-diode model (TDM) are investigated to estimate five, seven, and nine electrical parameters of these models, respectively. Besides, different recent optimization techniques are simulated with fair comparisons, which are forensic-based investigation (FBI), equilibrium optimizer (EO), Jellyfish Search (JFS), HBA, Marine Predator Algorithm (MPA) and Enhanced MPA (EMPA), and are compared with the proposed IHBA. Several separate runs are illustrated for the proposed IHBA in comparison with others, whereas the whisker box plot and T-tests are activated to evaluate their effectiveness metrics. The simulation results derive higher superiority of the proposed IHBA with the minimum RMSE objective and standard deviation of (0.000228 and 3.7 × 10 6 ), (0.000184 and 1.93 × 10 5 ) and (0.000017 and 2.11 × 10 5 ) for SDM, DDM, and TDM, respectively, with respect to the standard HBA, other recent and reported optimization techniques. Additionally, the P-indicator is applied in this study to illustrate the evidence for the alternative hypothesis. Small values of the Pindicator for the proposed IHBA are obtained compared to the standard HBA and other recent optimization techniques, where IHBA achieves p-value of 1.0336 × 10 17 , 4.037 7× 10 11 and 2.1490 × 10 10 for SDM, DDM and TDM, respectively. The H-value is always one which elucidates that the hypothesis probability is not more than 5% for all algorithms for SDM, DDM and TDM. Moreover, the proposed IHBA demonstrates higher efficiency as it provides the first ranks in the confidence interval values compared with other algorithms. Furthermore, the proposed IHBA is significantly employed for the SQ_150 PV module considering the TDM with diverse solar irradiance and temperatures, where significant closeness between the emulated and experimental P-V curves is evidently demonstrated.

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A new integrated single‐diode solar cell model for photovoltaic power prediction with experimental validation under real outdoor conditions

Cited by 22 publications

References 50 publications

Investigation the performance of PV solar cells in extremely hot environments

Investigation the performance of PV solar cells in extremely hot environments

Performance Assessment of Solar Generating Units Based on Coot Bird Metaheuristic Optimizer

Estimation of electrical parameters of photovoltaic panels using heap‐based algorithm

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