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Solar PV Grid Power Flow Analysis

Author

Listed:
  • Qais Alsafasfeh

    (Department of Electrical Power and Mechatronics, Tafila Technical University, At-Tafilah 66110, Jordan
    Sabbatical leave at Energy Engineering Departments, College of Engineering, Al Hussein Technical University, Amman 25175, Jordan)

  • Omar A. Saraereh

    (Communications Engineering Department, King Abdullah II School of Engineering, Princess Sumaya University for Technology PSUT, Amman 11941, Jordan)

  • Imran Khan

    (Department of Electrical Engineering, University of Engineering & Technology, Peshawar 814, Pakistan)

  • Sunghwan Kim

    (School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea)

Abstract

As the unconstrained integration of distributed photovoltaic (PV) power into a power grid will cause changes in the power flow of the distribution network, voltage deviation, voltage fluctuation, and so on, system operators focus on how to determine and improve the integration capacity of PV power rationally. By giving full consideration to the static security index constraints and voltage fluctuation, this paper proposes a maximum integration capacity optimization model of the PV power, according to different power factors for the PV power. Moreover, the proposed research analyzes the large-scale PV grid access capacity, PV access point, and multi-PV power plant output, by probability density distribution, sensitivity analysis, standard deviation analysis, and over-limit probability analysis. Furthermore, this paper establishes accessible capacity maximization problems from the Institute of Electrical and Electronics Engineers (IEEE) standard node system and power system analysis theory for PV power sources with constraints of voltage fluctuations. A MATLAB R2017B simulator is used for the performance analysis and evaluation of the proposed work. Through the simulation of the IEEE 33-node system, the integration capacity range of the PV power is analyzed, and the maximum integration capacity of the PV power at each node is calculated, providing a rational decision-making scheme for the planning of integrating the distributed PV power into a small-scale power grid. The results indicate that the fluctuations and limit violation probabilities of the power system voltage and load flow increase with the addition of the PV capacity. Moreover, the power loss and PV penetration level are influenced by grid-connected spots, and the impact of PV on the load flow is directional.

Suggested Citation

  • Qais Alsafasfeh & Omar A. Saraereh & Imran Khan & Sunghwan Kim, 2019. "Solar PV Grid Power Flow Analysis," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1744-:d:216302
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    References listed on IDEAS

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    Cited by:

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    2. Mohammad K. Najjar & Eduardo Linhares Qualharini & Ahmed W. A. Hammad & Dieter Boer & Assed Haddad, 2019. "Framework for a Systematic Parametric Analysis to Maximize Energy Output of PV Modules Using an Experimental Design," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    3. Issah Babatunde Majeed & Nnamdi I. Nwulu, 2022. "Impact of Reverse Power Flow on Distributed Transformers in a Solar-Photovoltaic-Integrated Low-Voltage Network," Energies, MDPI, vol. 15(23), pages 1-19, December.
    4. Mario Llamas-Rivas & Alejandro Pizano-Martínez & Claudio R. Fuerte-Esquivel & Luis R. Merchan-Villalba & José M. Lozano-García & Enrique A. Zamora-Cárdenas & Víctor J. Gutiérrez-Martínez, 2021. "Pressure Retarded Osmosis Power Units Modelling for Power Flow Analysis of Electric Distribution Networks," Energies, MDPI, vol. 14(20), pages 1-30, October.
    5. Mohammad Reza Maghami & Jagadeesh Pasupuleti & Chee Mei Ling, 2023. "Impact of Photovoltaic Penetration on Medium Voltage Distribution Network," Sustainability, MDPI, vol. 15(7), pages 1-13, March.
    6. Libin Yang & Wanpeng Zhou & Chunlai Li & Shuo Liu & Yuyan Qiu, 2025. "A Dynamic Inertia Control Method for a New Energy Station Based on a DC-Driven Synchronous Generator and Photovoltaic Power Station Coordination," Sustainability, MDPI, vol. 17(11), pages 1-21, May.
    7. Ruan, Tianqi & Wang, Fuxing & Topel, Monika & Laumert, Björn & Wang, Wujun, 2024. "A new optimal PV installation angle model in high-latitude cold regions based on historical weather big data," Applied Energy, Elsevier, vol. 359(C).

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