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Photovoltaic electricity generator dynamic modeling methods for smart grid applications: A review

Author

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  • Koohi-Kamalі, Sam
  • Rahim, N.A.
  • Mokhlis, H.
  • Tyagi, V.V.

Abstract

This paper presents a comprehensive review on mathematical modeling methods of photovoltaic (PV) solar cell/module/array which can be used for power system dynamic modeling purpose. The intermittent and non-linear properties of PV solar cells necessitate accurate modeling of such elements for power system studies. Large scale integration of photovoltaic distributed generation (PVDG) systems into the smart power grid can adversely affect the stability of whole network if the solar plant is not designed properly. A model of solar cell which can predict the PV system output precisely would be helpful to improve reliability and stability of the intelligent utility network. For the smart grid applications which integrate the rapidly growing technologies together with renewable resources, the suitable dynamic model of PV plant is very essential at preliminary evaluation steps. In this paper, a new classification is presented on existing PV cell/module/array modeling methods. Modeling techniques are categorized in two main classes, namely, circuitry based methods and equation based methods. The former class encompasses two sub-classes i.e. embedded function blocks (EFBs) and piecewise linear circuit (PLC) techniques. The second class also consists of two sub-classes i.e. analytical and numerical techniques. The characteristics of each class and its sub-classes are also analyzed and compared to others. Comparison between the methods in both categories indicates that the former class is easy to implement in power system simulation software. The latter class can be exploited to estimate parameters of solar cell in collaboration with EFBs method and vice versa. The second class is more accurate than the first although its computational burden is further. It is envisaged that this paper can serve researchers and designers who work in the field of solar power plant dynamic modeling as useful source of information.

Suggested Citation

  • Koohi-Kamalі, Sam & Rahim, N.A. & Mokhlis, H. & Tyagi, V.V., 2016. "Photovoltaic electricity generator dynamic modeling methods for smart grid applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 131-172.
    • Handle: RePEc:eee:rensus:v:57:y:2016:i:c:p:131-172
    DOI: 10.1016/j.rser.2015.12.137
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    4. Adrian Chmielewski & Jakub Możaryn & Piotr Piórkowski & Krzysztof Bogdziński, 2018. "Comparison of NARX and Dual Polarization Models for Estimation of the VRLA Battery Charging/Discharging Dynamics in Pulse Cycle," Energies, MDPI, vol. 11(11), pages 1-28, November.
    5. Guillermo Almonacid-Olleros & Gabino Almonacid & David Gil & Javier Medina-Quero, 2022. "Evaluation of Transfer Learning and Fine-Tuning to Nowcast Energy Generation of Photovoltaic Systems in Different Climates," Sustainability, MDPI, vol. 14(5), pages 1-15, March.
    6. Mostafa Elshahed & Ali M. El-Rifaie & Mohamed A. Tolba & Ahmed Ginidi & Abdullah Shaheen & Shazly A. Mohamed, 2022. "An Innovative Hunter-Prey-Based Optimization for Electrically Based Single-, Double-, and Triple-Diode Models of Solar Photovoltaic Systems," Mathematics, MDPI, vol. 10(23), pages 1-22, December.

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