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Voltage Regulation Performance Evaluation of Distributed Energy Resource Management via Advanced Hardware-in-the-Loop Simulation

Author

Listed:
  • Jing Wang

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Harsha Padullaparti

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Fei Ding

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Murali Baggu

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Martha Symko-Davies

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

Abstract

This paper evaluates the performance of coordinated control across advanced distribution management systems (ADMS), distributed energy resources (DERs), and distributed energy resource management systems (DERMS) using an advanced hardware-in-the-loop (HIL) platform. This platform provides a realistic laboratory testing environment, including accurate dynamic modeling of a real-world distribution system from a utility partner, real controllers (ADMS and DERMS), physical power hardware (DERs), and standard communications protocols. One grid service—voltage regulation—is evaluated to show the performance of the coordinated grid automation system. The testing results demonstrate that the coordinated DERMS and ADMS system can effectively regulate system voltages within target operation limits using DERs. The realistic laboratory HIL testing results give utilities confidence in adopting the grid automation systems to manage DERs to achieve system-level control and operation objectives (e.g., voltage regulation). This helps utilities mitigate potential risks (e.g., instability) prior to field deployment.

Suggested Citation

  • Jing Wang & Harsha Padullaparti & Fei Ding & Murali Baggu & Martha Symko-Davies, 2021. "Voltage Regulation Performance Evaluation of Distributed Energy Resource Management via Advanced Hardware-in-the-Loop Simulation," Energies, MDPI, vol. 14(20), pages 1-26, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6734-:d:657812
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    References listed on IDEAS

    as
    1. Wang, Jing & Zhao, Changhong & Pratt, Annabelle & Baggu, Murali, 2018. "Design of an advanced energy management system for microgrid control using a state machine," Applied Energy, Elsevier, vol. 228(C), pages 2407-2421.
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    Cited by:

    1. James Amankwah Adu & Alberto Berizzi & Francesco Conte & Fabio D’Agostino & Valentin Ilea & Fabio Napolitano & Tadeo Pontecorvo & Andrea Vicario, 2022. "Power System Stability Analysis of the Sicilian Network in the 2050 OSMOSE Project Scenario," Energies, MDPI, vol. 15(10), pages 1-33, May.
    2. Comden, Joshua & Wang, Jing & Bernstein, Andrey, 2023. "Adaptive primal–dual control for distributed energy resource management," Applied Energy, Elsevier, vol. 351(C).

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