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Generalized Dynamical Modeling of Multiple Photovoltaic Units in a Grid-Connected System for Analyzing Dynamic Interactions

Author

Listed:
  • Tahsin Fahima Orchi

    (Electrical Power & Energy Systems Research Laboratory (EPESRL), School of Engineering, Deakin University, Geelong, VIC 3216, Australia)

  • Md Apel Mahmud

    (Electrical Power & Energy Systems Research Laboratory (EPESRL), School of Engineering, Deakin University, Geelong, VIC 3216, Australia)

  • Amanullah Maung Than Oo

    (Electrical Power & Energy Systems Research Laboratory (EPESRL), School of Engineering, Deakin University, Geelong, VIC 3216, Australia)

Abstract

This paper aims to develop the generalized dynamical model of multiple photovoltaic (PV) units connected to the grid along with the dynamic interaction analysis among different PV units. The dynamical models of multiple PV units are developed by considering three different configurations through which these PV units are connected to the grid. These configurations include: (a) the direct connection of multiple PV units to the grid; (b) the connection of multiple PV units to the grid through a point of common coupling (PCC); and (c) the connection of PV units without a PCC. The proposed modeling framework provides meaningful insights for analyzing dynamic interaction analysis where these interactions from other PV units are expressed in terms of voltages and line impedances rather than the dynamics of currents. The dynamic interactions among different PV units for all these configurations are analyzed using both analytical and simulation studies. Simulations are carried out on an IEEE 15-bus test system and dynamic interactions are analyzed from the total harmonic distortions (THDs) in the current responses of different PV units. Both analytical and simulation studies clearly indicate that the effects of dynamic interactions are prominent with the increase in PV units.

Suggested Citation

  • Tahsin Fahima Orchi & Md Apel Mahmud & Amanullah Maung Than Oo, 2018. "Generalized Dynamical Modeling of Multiple Photovoltaic Units in a Grid-Connected System for Analyzing Dynamic Interactions," Energies, MDPI, vol. 11(2), pages 1-12, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:296-:d:129004
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    References listed on IDEAS

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    3. Korkas, Christos D. & Baldi, Simone & Michailidis, Iakovos & Kosmatopoulos, Elias B., 2016. "Occupancy-based demand response and thermal comfort optimization in microgrids with renewable energy sources and energy storage," Applied Energy, Elsevier, vol. 163(C), pages 93-104.
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    Cited by:

    1. Nubia Ilia Ponce de León Puig & Leonardo Acho & José Rodellar, 2018. "Design and Experimental Implementation of a Hysteresis Algorithm to Optimize the Maximum Power Point Extracted from a Photovoltaic System," Energies, MDPI, vol. 11(7), pages 1-24, July.
    2. Jing Huang & John Boland, 2018. "Performance Analysis for One-Step-Ahead Forecasting of Hybrid Solar and Wind Energy on Short Time Scales," Energies, MDPI, vol. 11(5), pages 1-12, May.
    3. Subarto Kumar Ghosh & Tushar Kanti Roy & Md. Abu Hanif Pramanik & Md. Apel Mahmud, 2021. "Design of Nonlinear Backstepping Double-Integral Sliding Mode Controllers to Stabilize the DC-Bus Voltage for DC–DC Converters Feeding CPLs," Energies, MDPI, vol. 14(20), pages 1-16, October.
    4. Pedro A. Blasco & Rafael Montoya-Mira & José M. Diez & Rafael Montoya & Miguel J. Reig, 2018. "Formulation of the Phasors of Apparent Harmonic Power: Application to Non-Sinusoidal Three-Phase Power Systems," Energies, MDPI, vol. 11(7), pages 1-16, July.

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