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Modelling a Photovoltaic Power Station

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Soft Computing Applications (SOFA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1221))

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Abstract

The continuous development of different domains of technique leads us to diversity; likewise, there are appearing new types of energy sources in the field of energy engineering, as well as new extraction procedures, conversions or energy caption, but also new components with better performances being used in many domain of industry. The nature offers us numerous energy resources, the only difficulty consists of their transformation into appropriate sources.

In this article, a modelling and simulating method of a photovoltaic plant is presented with the help of the software called MatLAB, using the program’s library as well as the predefined configurations.

The simulation with MatLAB and Simulink blocks leads us to accurate results due to the program’s high complexity level. The program is able to consider all necessary conditions, such as the variation of irradiance and temperature, to obtain a good, accurate and realizable project.

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Author information

Authors and Affiliations

  1. University of Oradea, University St. 1, 410087, Oradea, Romania

    Eva Barla, Dzitac Simona & Carja Vasile

Authors
  1. Eva Barla
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  2. Dzitac Simona
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  3. Carja Vasile
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Corresponding author

Correspondence to Dzitac Simona .

Editor information

Editors and Affiliations

  1. “Aurel Vlaicu” University of Arad, Faculty of Engineering, Arad, Romania

    Valentina Emilia Balas

  2. Faculty of Engineering and Information Technology, University of Technology Sydney, Centre for Artificial Intelligence, Sydney, Australia

    Lakhmi C. Jain

  3. Faculty of Engineering, “Aurel Vlaicu” University of Arad, Arad, Arad, Romania

    Marius Mircea Balas

  4. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

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Barla, E., Simona, D., Vasile, C. (2021). Modelling a Photovoltaic Power Station. In: Balas, V., Jain, L., Balas, M., Shahbazova, S. (eds) Soft Computing Applications. SOFA 2018. Advances in Intelligent Systems and Computing, vol 1221. Springer, Cham. https://doi.org/10.1007/978-3-030-51992-6_4

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