Comparison of different physical models for PV power output prediction

Dolara, Alberto; Leva, Sonia; Manzolini, Giampaolo

doi:10.1016/j.solener.2015.06.017

Cited by 301 publications

(106 citation statements)

References 30 publications

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“…The PV module I-V curve is calculated combining the I-V curves of each cell and the I-V curves of each bypass diode in order to comply with the series and parallel electrical connection constraints. The I-V curve of each cell was calculated by using the five parameter mathematical model [26], whose equivalent circuit is reported in Figure 5. The five parameters that characterize this model are the light generated current (I PV ), the leakage or reverse saturation current (I 0 ), the diode quality factor (n), the series resistance (R s ) and the shunt resistance (R sh ).…”

Section: Test Case Pv System Modelmentioning

confidence: 99%

An Evolutionary-Based MPPT Algorithm for Photovoltaic Systems under Dynamic Partial Shading

et al. 2018

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Abstract:The increase of renewable energy usage in the last two decades, in particular photovoltaic (PV) systems, has opened up different solar plant configurations that need to operate and properly perform in terms of efficient power transfer with respect to all of the involved components, such as inverters, grid interface, storage, and other electrical loads. In such applications, the power characteristics of the plant modules all together represent the main components that are responsible for power extraction, depending on both external and internal factors. Conventional maximum power point tracking techniques may not have a proper conversion efficiency under particular external dynamic conditions. This paper proposes an evolutionary-based maximum power point tracking algorithm suitable to operate under dynamic partial shading conditions and compares its performance with classical maximum power point tracking methods in order to evaluate their conversion efficiency in partial shading scenarios with relevant and dynamic changes in the environmental conditions. Simulations taking into account the different dynamic shading conditions were carried out to prove the effectiveness and limitations of the proposed approach with respect to classical algorithms.

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Section: Test Case Pv System Modelmentioning

confidence: 99%

An Evolutionary-Based MPPT Algorithm for Photovoltaic Systems under Dynamic Partial Shading

et al. 2018

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“…Even though it may seem to be less feasible for countries with cloudy weather, PV technology has relatively significant use in European countries like Germany. In 2014, there is about 177 GW of power from solar panels [57][58][59][60]. Katsumata et al (2011) [63] illustrated that exposing PV cells to high intensity irradiance accompanied with high temperature for long period of time may affect its performance, which is mainly based on geographical areas and the changing weather was either urban, rural, or desert areas.…”

Section: Literature Surveymentioning

confidence: 99%

Photovoltaic Thermal PV/T systems: A review

Al‐Waeli¹,

Sopian²,

Kazem³

et al. 2017

IJOCAAS

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Abstract-Photovoltaic Thermal (PV/T) combine the solar thermal and photovoltaic systems. This technique benefits from both light and heat of the solar radiation to produce electricity and hot fluids. Research in PV/T systems is rapidly growing with more methods and techniques to increase the overall efficiency, reduce the cost, improve the modeling, and maintain the system for long periods of time and employing them for suitable application. The paper aims to study some of the research conducted in this field in order to understand and derive key points to producing more research and providing constructive criticism for the work presented. Also a detailed explanation of PV/T systems' principles and operation is presented. Classifications of PV/T in terms of absorber design, shape of pipes, PV configuration, type of working fluid (base-fluid) and type of PV panels are all discussed in the literature survey. Finally, it is concluded that there is a clear lack in electrical, economic and environmental evaluations, where most of articles in PV/T are dominated by the thermal study of the system.

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“…Dolara et al [43] investigated the PV power output prediction using three mathematical models and considered both poly-crystalline and mono-crystalline PV module. Dolara et al [44] and Leva et al [45] investigated the P V power output prediction using neural network and hybrid model.…”

Section: Introductionmentioning

confidence: 99%

Mathematical method to find best suited PV technology for different climatic zones of India

Chakraborty

Kumar

Haldkar

et al. 2017

Int J Energy Environ Eng

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This paper presents a reliable mathematical method to predict the energy generation from grid connected photovoltaic plant of different commercially used technologies in different zones of India. Global horizontal insolation (GHI) and daytime temperature are the two major parameters affecting the output of photovoltaic (PV) plant. Depending on those two major parameters, India is classified into 15 climatic zones. Typical Meteorological Year data were collected from National Renewable Energy Laboratory to classify India in different climatic zones. Energy generation of different commercially used PV technologies in different climatic zones of India is predicted using proposed mathematical method. These results show a decisive study to choose the best PV technology for different climatic zones of India. Results predict that in almost all climatic zones, amorphous silicon (a-Si) is the best suitable PV technology. In very low-temperature zones, irrespective of GHI, the second best suitable PV technology is mono and cadmium telluride (CdTe) as generation from these two technologies is same. Whereas in other climatic zones, after a-Si the best suitable is CdTe PV technology. Predicted energy generation is validated with the 1-year generation of 2014 from 15 working PV plants of different technologies. Predicted generation is in good co-relation with the actual real-time generation from the PV plants.

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Comparison of different physical models for PV power output prediction

Cited by 301 publications

References 30 publications

An Evolutionary-Based MPPT Algorithm for Photovoltaic Systems under Dynamic Partial Shading

An Evolutionary-Based MPPT Algorithm for Photovoltaic Systems under Dynamic Partial Shading

Photovoltaic Thermal PV/T systems: A review

Mathematical method to find best suited PV technology for different climatic zones of India

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