Modeling and Prediction of PV Module Performance Under Different Operating Conditions Based on Power-Law <i>I</i>–<i>V</i> Model

Zhang, Chen; Zhang, Yunpeng; Su, Jialei; Gu, Tingkun; Yang, Ming

doi:10.1109/jphotov.2020.3016607

Cited by 36 publications

(4 citation statements)

References 29 publications

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“…Different operating incidences are considered to predict the electrical characteristics, which do not require any iterative or nonelementary functions. Reduced computational complexity and cost are the major features of the power-law model [24].…”

Section: Related Workmentioning

confidence: 99%

Analysis of Single-Diode PV Model and Optimized MPPT Model for Different Environmental Conditions

Senthilkumar

Mohan

Mangaiyarkarasi³

et al. 2022

International Transactions on Electrical Energy Systems

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The performance of photovoltaic (PV) systems must be predicted through accurate simulation designs before proceeding to a real-time application to avoid errors. However, predicting the cohesive relationship between current and voltage and estimating the parameters of a single diode model become a perplexing task due to insufficient data in the datasheet of PV panels. This research work presents single-diode solar PV system simulation analysis under different conditions, and the performance is improved by introducing an optimization-based maximum power point tracking (MPPT) strategy. Before simulation, a mathematical model for a single diode and optimization approaches are presented in this research work. Particle swarm optimization (PSO), genetic algorithm (GA), BAT optimization, and grey wolf optimization (GWO) model-based MPPT circuits are designed, and the performances are comparatively analyzed. The simulation results identify the nonlinear relationship between current and voltage and between power and voltage as characteristic curves for different temperature and irradiance values. For maximum power (Pmax), the maximum peak point tracking power and efficiency are analyzed to verify the optimization-based MPPT system. The simulation results demonstrate that the GWO model obtains a maximum tracking efficiency (TE) of 98%, which is much better than that of other optimization techniques.

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Section: Related Workmentioning

confidence: 99%

Analysis of Single-Diode PV Model and Optimized MPPT Model for Different Environmental Conditions

Senthilkumar

Mohan

Mangaiyarkarasi³

et al. 2022

International Transactions on Electrical Energy Systems

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“…Solar energy is one of the most important renewable energies on which many countries rely as an alternative, it involves converting solar radiation into electricity using photovoltaic converters called cells which represent the basic element in photovoltaic conversion (Kharchenko., 2019;& Zhang et al, 2020). The association of multiple cells in series/parallel gives rise to a photovoltaic module.…”

Section: Motivationmentioning

confidence: 99%

A New Reduced Form for Real-Time Identification of PV Panels Operating Under Arbitrary Conditions

Tifidat

Maouhoub

Benahmida

2022

International Journal of Energy Optimization and Engineering

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In this work, an efficient solution based on the reducing forms approach is presented to extract the five parameters of the single-diode model of PV generators from their I-V curves. Thus, by reducing the number of the five unknown parameters to two unknowns, the analytical expression of the current based on the LambertW function will then depend only on the ideality factor and the series resistance, as the two unknowns to predict numerically using the non-linear least square technique. The three other parameters are calculated as functions of the two predicted parameters using a linear system of three equations. Two sets of experiments are used for the validation of the proposed approach, which first showed its rapidity and high accuracy compared to the best approaches from the literature. Then, the method was applied for the real-time identification of four PV modules operating outdoors during one reference day at Cocoa (Florida).

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“…In the existing studies, the scholars developed a lot of models for the engineering application. [24][25][26] In this article, the widely used numerical model proposed by Su et al is used. [27] The PV model is formulized as…”

Section: Numerical Model Of Pv Modulementioning

confidence: 99%

Dynamic Model and Intelligent Maximum Power Point Tracking Approach for Large‐Scale Building‐Integrated Photovoltaic System

Tang

2021

Energy Tech

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In the modern city, the concepts of "intelligent building," "green building," and "net-zero energy building" have attracted the attention of worldwide scholars. [1][2][3] As one of the most popular green energy systems, the photovoltaic (PV) power generation system plays an increasingly important role in engineering applications for achieving promising performances on energy saving and emission reduction. [4][5][6][7] For the so-called buildingintegrated photovoltaic system (BIPV), especially in high buildings with large surface area, thousands of PV panels are installed on the building facades for collecting solar energy. [8][9][10] As buildings account for almost 32% of the world's total electricity power consumption, the promotion and popularization of green building techniques (e.g., the BIPV system) are of great importance for the worldwide energy saving and emission reduction. [11] The maximum power point tracking (MPPT) technique is an important and necessary part in PV systems, as it can ensure the system keeps outputting the maximum power under varying environmental conditions. [12][13][14] As shown in Figure 1, the BIPV system always suffers from not only the complex shadings caused by its surroundings, but also the dynamic incidence sunlight angles caused by the unpredictable occupants' behaviors. For example, in the modern BIPV system, the facades of building are completely covered by a special PV module, namely, the BIPV window, which can capture the solar energy by integrating special PV materials and can also work as the traditional windows. As illustrated in Figure 1, each of the BIPV window can be closed or keep a random opening angle. This may lead to a dynamic incidence sunlight angle of each BIPV window and may also lead to random shading for its lower floor.As a result, the fast and accurate MPPT control of a large-scale BIPV system is always difficult. To overcome this problem, some efficient MPPT approaches are widely developed in recently years. For example, Liu et al. developed a hybrid MPPT approach by combining the variable step-size MPPT algorithm with continuous conduction mode and discontinuous current mode. Their proposed approach was applied in a BIPV system and verified by simulation experiments. [15] To overcome the partial shading problem of the facade BIPV system, Ravyts et al. developed a distributed MPPT by means of embedded converters and a common direct current bus. [16] According to the result of their case studies, the proposed approach can obtain promising performance with overall high efficiencies. For the design and

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Modeling and Prediction of PV Module Performance Under Different Operating Conditions Based on Power-Law I–V Model

Cited by 36 publications

References 29 publications

Analysis of Single-Diode PV Model and Optimized MPPT Model for Different Environmental Conditions

Analysis of Single-Diode PV Model and Optimized MPPT Model for Different Environmental Conditions

A New Reduced Form for Real-Time Identification of PV Panels Operating Under Arbitrary Conditions

Dynamic Model and Intelligent Maximum Power Point Tracking Approach for Large‐Scale Building‐Integrated Photovoltaic System

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