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Dynamic Modeling Analysis of Direct-Coupled Photovoltaic Power Systems

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Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

Photovoltaic (PV) cells utilization is getting more attention due to the depletion of the world’s natural resources and the increased progress in power electronics and semiconductor technologies. The first step to analyze and study a PV power system is to develop a model that is capable of providing an accurate prediction for the system’s performance at different operating conditions. The availability of precise models for PV systems in hand allows the designers, operators, and researchers to predict, optimize, and evaluate the behavior of the system under different dynamics amid the development, which is very helpful for design and control purpose. Additionally, these models help to investigate the interaction between the PV system and other connected networks. Therefore, this chapter presents a general mathematical dynamic modeling technique for direct-coupled PV power systems. The nonlinear mathematical formulas for each component in the system are derived, and the connection among the different components is addressed. The modeling approach is applied to two different direct-coupled PV systems: grid-connected and stand-alone system. The accuracy of the developed models was verified based on the simulation and experimental data. The results demonstrate the ability of the proposed models for predicting the system performance under different environmental and operating conditions.

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Correspondence to Ahmed A. S. Mohamed .

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Mohamed, A.A.S. (2020). Dynamic Modeling Analysis of Direct-Coupled Photovoltaic Power Systems. In: Eltamaly, A., Abdelaziz, A. (eds) Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-05578-3_17

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  • DOI: https://doi.org/10.1007/978-3-030-05578-3_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05577-6

  • Online ISBN: 978-3-030-05578-3

  • eBook Packages: EnergyEnergy (R0)

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