Numerical method and new analytical models for determining temporal changes of model-parameters to predict maximum power and efficiency of PV module operating outdoor under arbitrary conditions

Zaimi, M.; Achouby, H. El; Zegoudi, O.; Ibral, A.; Assaid, E.

doi:10.1016/j.enconman.2020.113071

Cited by 31 publications

(19 citation statements)

References 59 publications

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“…Herein, we choose

a

in the interval of 0 to 2 with a step of 0.01.

I_{p v}

is computed based on () [2, 9, 17].

\begin{matrix} true \\ right I_{p v} = ([], I_{p v, S T C} + K_{i, s c} ((), T - T_{S T C})) \frac{G}{G_{S T C}} \end{matrix}

I_{s a t}

is calculated by ().…”

Section: New Methods To Identify I–v Characteristics At Operating Con...mentioning

confidence: 99%

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Identification of photovoltaic‐generation‐characteristic at real‐time conditions by improved single‐diode model

Nguyen

Fujita

2021

IET Renewable Power Gen

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The dramatic penetration of sustainable energy systems, including photovoltaic (PV) systems, has profoundly affected the stability and the reliability of the power system. Hence, determining the generation characteristics of PV systems has been becoming a crucial task in planning and dispatching the power system. However, since the generation of PV systems is profoundly impacted by the weather conditions, especially the irradiance and the temperature, producing a PV model, which performs well at various conditions, has been a challenging task for years. In this paper, we present a model to determine the PV generation characteristics by obtaining the current-voltage (I-V) curves of the single-diode model. First, the three key points, including the open-circuit point, the short-circuit point, and the maximum power point, are estimated from the historical data based on an improved regression model. After that, a new algorithm is proposed, which ensures the model always converges at any temperature and irradiance conditions. The proposed model is validated by comparing with recently published models and the measured data from the National Renewable Energy Laboratory, USA. Compared to previous numerical models, the proposed model is capable of determining the generation characteristics of PV systems at anomaly conditions (anomalously low irradiance and anomalously high irradiance) with high accuracy and fast speed. The validated results demonstrate the accuracy and the reliability of the proposed model in determining the generation characteristics of PV modules at real-time conditions.

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“…Herein, we choose

a

in the interval of 0 to 2 with a step of 0.01.

I_{p v}

is computed based on () [2, 9, 17].

\begin{matrix} true \\ right I_{p v} = ([], I_{p v, S T C} + K_{i, s c} ((), T - T_{S T C})) \frac{G}{G_{S T C}} \end{matrix}

I_{s a t}

is calculated by ().…”

Section: New Methods To Identify I–v Characteristics At Operating Con...mentioning

confidence: 99%

“…Herein, we choose a in the interval of 0 to 2 with a step of 0.01. I pv is computed based on (19) [2,9,17].…”

Section: Identifying I-v Characteristics At Operating Conditionsmentioning

confidence: 99%

Identification of photovoltaic‐generation‐characteristic at real‐time conditions by improved single‐diode model

Nguyen

Fujita

2021

IET Renewable Power Gen

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“…According to [33], the photocurrent, Iph changes linearly with solar irradiance, and it is also affected by the operating temperature. However, the work in [34] has suggested to improvise the irradiance, G to effective irradiance instead, as there are reflectance losses that may occur on the PV panel's surface. The diode's saturation current Io changes its values based on the diode theory, and a parameter is described as being proportional to the cell temperature based on the experiment [29].…”

Section: ____________________________________________________________________________________________________mentioning

confidence: 99%

“…The output current equation of the one diode model is evaluated at the open circuit condition and rearranged in (33). By substituting the parameter scaling from (22) and the Io equation in (34)…”

Section: Characteristic Points Translation Techniquementioning

confidence: 99%

Simple PV Modeling Under Variable Operating Conditions

et al. 2021

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Photovoltaic (PV) panels are increasingly used to convert sunlight into electricity, as a source of sustainable energy. It can be used in a wide variety of applications ranging from the well-known power generation to the emerging energy harvesting in Internet of Things (IoT). Hence, an accurate model is required to evaluate and predict the performance of the PV panel. However, the non-linear characteristics of PV panels make the modeling of their electrical response a challenging task. In the literature, most of the previous PV models have been developed for large wattage PVs under high irradiance, or for small wattage PVs under lower irradiance. Those that can model both usually require more information, including the I-V curves data at different irradiances, which is not always provided by the manufacturers. Therefore, this paper presents a simple PV modeling that can be applied for different wattage panels at different operating levels of irradiance, using only the commonly provided datasheet values at standard test condition (STC). The model uses the characteristic points translation technique to translate the short circuit current, open circuit voltage and maximum power voltage points, at STC to other operating conditions. These translated values are then used by the parameter extraction technique to extract the model's parameters. The proposed model's techniques can model the losses across the resistors at low irradiance, which reduces the error. The accuracy of the proposed model is validated using two representative commercial PV panels. Results are generated for the proposed model and other comparative works. The results show that the proposed model can improve the accuracy over the other compared works, with a consistent percentage difference of below 5% across all levels of irradiances for both panels.

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“…The development of record efficiencies of PV cells was described in the article [1]. Other important parameters of PV cells also depend significantly on temperature [2], [3], [35]. This behavior is related to the theory of solids [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Changes in the Efficiency of Photovoltaic Energy Conversion in Temperature Range With Extreme Limits

Libra

Petrík

Poulek

et al. 2021

IEEE J. Photovoltaics

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The efficiency of the photovoltaic energy conversion depends on the temperature significantly. We monitored the behavior of I-V characteristics of the PV cell based on monocrystalline silicon in temperature range with extreme limits from −170°C to +100°C. We have not yet found a similar measurement in this temperature interval. The temperature of PV modules without radiation concentration can reach values of −100°C to +100°C on the Earth's surface. The temperature range may be few wider in space. Changes of I-V characteristics and P-V characteristics are discussed in terms of the theory of solids. The open-circuit voltage dependence is approximately linear over a wide temperature range, but saturation occurs at temperatures around −150°C, which is also explained in accordance with the theory of semiconductors. The decrease in energy conversion efficiency with increasing temperature has a value of about 0.5%/°C throughout the whole temperature range possible on the Earth's surface. If there are large changes in the temperature of the PV modules during operation of the PV system, the electrical voltage of the PV modules will also change considerably. In space applications, these fluctuations may be greater. This must be taken into account when designing PV systems (especially for deep space missions). For example, electronic inverters are sensitive to overvoltage or undervoltage.

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Numerical method and new analytical models for determining temporal changes of model-parameters to predict maximum power and efficiency of PV module operating outdoor under arbitrary conditions

Cited by 31 publications

References 59 publications

Identification of photovoltaic‐generation‐characteristic at real‐time conditions by improved single‐diode model

Identification of photovoltaic‐generation‐characteristic at real‐time conditions by improved single‐diode model

Simple PV Modeling Under Variable Operating Conditions

Changes in the Efficiency of Photovoltaic Energy Conversion in Temperature Range With Extreme Limits

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