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Analyzing Impact of Distributed PV Generation on Integrated Transmission & Distribution System Voltage Stability—A Graph Trace Analysis Based Approach

Author

Listed:
  • Bilal Ahmad Bhatti

    (Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061, USA)

  • Robert Broadwater

    (National Information Solutions Cooperative, Blacksburg, VA 24060, USA)

  • Murat Dilek

    (National Information Solutions Cooperative, Blacksburg, VA 24060, USA)

Abstract

The use of a Graph Trace Analysis (GTA)-based power flow for analyzing the voltage stability of integrated Transmission and Distribution (T&D) networks is discussed in the context of distributed Photovoltaic (PV) generation. The voltage stability of lines and the load carrying capability of buses is analyzed at various PV penetration levels. It is shown that as the PV generation levels increase, an increase in the steady state voltage stability of the system is observed. Moreover, within certain regions of stability margin changes, changes in voltage stability margins of transmission lines are shown to be linearly related to changes in the loading of the lines. Two case studies are presented, where one case study involves a model with eight voltage levels and 784,000 nodes. In one case study, a voltage-stability heat map is used to demonstrate the identification of weak lines and buses.

Suggested Citation

  • Bilal Ahmad Bhatti & Robert Broadwater & Murat Dilek, 2020. "Analyzing Impact of Distributed PV Generation on Integrated Transmission & Distribution System Voltage Stability—A Graph Trace Analysis Based Approach," Energies, MDPI, vol. 13(17), pages 1-15, September.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4526-:d:407144
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    Citations

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    Cited by:

    1. Dan Zhu & Murat Dilek & Max Zhong & Abhineet Parchure & Robert Broadwater & Nicholas Cincotti & Timothy Kutchen & Scott Placide & Luan Watson, 2023. "Transmission and Distribution Real-Time Analysis Software for Monitoring and Control: Design and Simulation Testing," Energies, MDPI, vol. 16(10), pages 1-16, May.
    2. Md Tariqul Islam & M. J. Hossain, 2023. "Artificial Intelligence for Hosting Capacity Analysis: A Systematic Literature Review," Energies, MDPI, vol. 16(4), pages 1-33, February.
    3. Andrés Felipe Buitrago-Velandia & Oscar Danilo Montoya & Walter Gil-González, 2021. "Dynamic Reactive Power Compensation in Power Systems through the Optimal Siting and Sizing of Photovoltaic Sources," Resources, MDPI, vol. 10(5), pages 1-17, May.
    4. Himanshu Jain & Bilal Ahmad Bhatti & Tianying Wu & Barry Mather & Robert Broadwater, 2020. "Integrated Transmission-and-Distribution System Modeling of Power Systems: State-of-the-Art and Future Research Directions," Energies, MDPI, vol. 14(1), pages 1-28, December.

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