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A Comparison of DER Voltage Regulation Technologies Using Real-Time Simulations

Author

Listed:
  • Adam Summers

    (Sandia National Laboratories, Albuquerque, NM 87123, USA)

  • Jay Johnson

    (Sandia National Laboratories, Albuquerque, NM 87123, USA)

  • Rachid Darbali-Zamora

    (Sandia National Laboratories, Albuquerque, NM 87123, USA)

  • Clifford Hansen

    (Sandia National Laboratories, Albuquerque, NM 87123, USA)

  • Jithendar Anandan

    (Electric Power Research Institute, Palo Alto, CA 94304, USA)

  • Chad Showalter

    (Connected Energy, Pittsburgh, PA 15220, USA)

Abstract

Grid operators are now considering using distributed energy resources (DERs) to provide distribution voltage regulation rather than installing costly voltage regulation hardware. DER devices include multiple adjustable reactive power control functions, so grid operators have the difficult decision of selecting the best operating mode and settings for the DER. In this work, we develop a novel state estimation-based particle swarm optimization (PSO) for distribution voltage regulation using DER-reactive power setpoints and establish a methodology to validate and compare it against alternative DER control technologies (volt–VAR (VV), extremum seeking control (ESC)) in increasingly higher fidelity environments. Distribution system real-time simulations with virtualized and power hardware-in-the-loop (PHIL)-interfaced DER equipment were run to evaluate the implementations and select the best voltage regulation technique. Each method improved the distribution system voltage profile; VV did not reach the global optimum but the PSO and ESC methods optimized the reactive power contributions of multiple DER devices to approach the optimal solution.

Suggested Citation

  • Adam Summers & Jay Johnson & Rachid Darbali-Zamora & Clifford Hansen & Jithendar Anandan & Chad Showalter, 2020. "A Comparison of DER Voltage Regulation Technologies Using Real-Time Simulations," Energies, MDPI, vol. 13(14), pages 1-26, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3562-:d:382831
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    Citations

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    Cited by:

    1. Annette von Jouanne & Emmanuel Agamloh & Alex Yokochi, 2023. "Power Hardware-in-the-Loop (PHIL): A Review to Advance Smart Inverter-Based Grid-Edge Solutions," Energies, MDPI, vol. 16(2), pages 1-27, January.
    2. Rachid Darbali-Zamora & Jay Johnson & Adam Summers & C. Birk Jones & Clifford Hansen & Chad Showalter, 2021. "State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin," Energies, MDPI, vol. 14(3), pages 1-21, February.
    3. Jack Flicker & Jay Johnson & Peter Hacke & Ramanathan Thiagarajan, 2022. "Automating Component-Level Stress Measurements for Inverter Reliability Estimation," Energies, MDPI, vol. 15(13), pages 1-15, July.
    4. Hossein Abedini & Tommaso Caldognetto & Paolo Mattavelli & Paolo Tenti, 2020. "Real-Time Validation of Power Flow Control Method for Enhanced Operation of Microgrids," Energies, MDPI, vol. 13(22), pages 1-19, November.
    5. Pedro Faria & Zita Vale, 2022. "Realistic Load Modeling for Efficient Consumption Management Using Real-Time Simulation and Power Hardware-in-the-Loop," Energies, MDPI, vol. 16(1), pages 1-15, December.
    6. Robert Małkowski & Michał Izdebski & Piotr Miller, 2020. "Adaptive Algorithm of a Tap-Changer Controller of the Power Transformer Supplying the Radial Network Reducing the Risk of Voltage Collapse," Energies, MDPI, vol. 13(20), pages 1-25, October.
    7. Sisi Pan & Wei Jiang & Ming Li & Hua Geng & Jieyun Wang, 2022. "Evaluation of the Communication Delay in a Hybrid Real-Time Simulator for Weak Grids," Energies, MDPI, vol. 15(6), pages 1-16, March.

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