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Dynamic simulation and modelling of stand-alone PV systems by using state equations and numerical integration methods

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  • Illanes, Rafael
  • De Francisco, Adolfo
  • Núñez, Francisco
  • De Blas, Marian
  • García, Almudena
  • Torres, José Luis

Abstract

It is known that simulation of PV systems permits to study their performance helping engineers to design them. This paper deals with the dynamic simulation and modelling of stand-alone PV systems by using state variables and numerical integration methods. Two PV systems have been modelled and simulated: a PV array directly connected to a resistive load and a PV array with batteries also connected to a resistive load. A double exponential model, together with the procedure 1 for temperature and irradiance corrections of the IEC 60891 standard, has been used to model the PV array and considering the general battery model of Coppety with some modifications, the system with batteries was simulated. The obtained results from the simulations and experimental tests have been analysed and have shown that this methodology is a good option to simulate these systems.

Suggested Citation

  • Illanes, Rafael & De Francisco, Adolfo & Núñez, Francisco & De Blas, Marian & García, Almudena & Torres, José Luis, 2014. "Dynamic simulation and modelling of stand-alone PV systems by using state equations and numerical integration methods," Applied Energy, Elsevier, vol. 135(C), pages 440-449.
    • Handle: RePEc:eee:appene:v:135:y:2014:i:c:p:440-449
    DOI: 10.1016/j.apenergy.2014.08.088
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    References listed on IDEAS

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    1. Sandrolini, L. & Artioli, M. & Reggiani, U., 2010. "Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis," Applied Energy, Elsevier, vol. 87(2), pages 442-451, February.
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    Cited by:

    1. Ridha, Hussein Mohammed & Gomes, Chandima & Hizam, Hashim & Ahmadipour, Masoud & Heidari, Ali Asghar & Chen, Huiling, 2021. "Multi-objective optimization and multi-criteria decision-making methods for optimal design of standalone photovoltaic system: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    2. Sarhan, Ameen & Hizam, Hashim & Mariun, Norman & Ya'acob, M.E., 2019. "An improved numerical optimization algorithm for sizing and configuration of standalone photo-voltaic system components in Yemen," Renewable Energy, Elsevier, vol. 134(C), pages 1434-1446.
    3. Blaifi, S. & Moulahoum, S. & Colak, I. & Merrouche, W., 2016. "An enhanced dynamic model of battery using genetic algorithm suitable for photovoltaic applications," Applied Energy, Elsevier, vol. 169(C), pages 888-898.
    4. Alberto-Jesus Perea-Moreno & Quetzalcoatl Hernandez-Escobedo & Javier Garrido & Joel Donaldo Verdugo-Diaz, 2018. "Stand-Alone Photovoltaic System Assessment in Warmer Urban Areas in Mexico," Energies, MDPI, vol. 11(2), pages 1-13, January.
    5. Arabkoohsar, A. & Ismail, K.A.R. & Machado, L. & Koury, R.N.N., 2016. "Energy consumption minimization in an innovative hybrid power production station by employing PV and evacuated tube collector solar thermal systems," Renewable Energy, Elsevier, vol. 93(C), pages 424-441.
    6. Luo, Yongqiang & Zhang, Ling & Wu, Jing & Liu, Zhongbing & Wu, Zhenghong & He, Xihua, 2017. "Dynamical simulation of building integrated photovoltaic thermoelectric wall system: Balancing calculation speed and accuracy," Applied Energy, Elsevier, vol. 204(C), pages 887-897.

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