Evaluation of Optimal Net Load Management in Microgrids Using Hardware-in-the-Loop Simulation

Jing Wang, Soham Chakraborty, Vivek Khatana, Blake Lundstrom, Govind Sarawat, Murti Salapaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the performance evaluation of a net load management (NLM) engine that balances load and generation in an isolated community to power a critical facility after a grid interruption event (e.g., the loss of a large generation unit). This NLM engine is particularly important for microgrid systems because it provides a high-speed, cost-optimal control solution to coordinate grid-forming inverters and to dispatch grid-following inverters and deferrable loads in microgrid systems to enhance grid resilience and reliability. The NLM algorithm cost-optimally dispatches the grid-following inverters and deferrable loads based on the demanded power and load priorities, and the grid-forming inverters use droop control to form system voltages and share active and reactive power. A controller-hardware-in-the-loop platform is developed to evaluate the control performance of the NLM algorithm with two sequential contingency events of lost generation units. The experimental results indicate that the NLM engine can maintain system stability, achieve the targeted system voltage and frequency, and balance load and generation to serve the critical facility with improved system resilience and reliability.

Original languageEnglish (US)
Title of host publication2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665437752
DOIs
StatePublished - 2022
Event2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022 - New Orleans, United States
Duration: Apr 24 2022Apr 28 2022

Publication series

Name2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022

Conference

Conference2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
Country/TerritoryUnited States
CityNew Orleans
Period4/24/224/28/22

Bibliographical note

Funding Information:
This work was authored in part by the National Renewable Energy Laboratory, managed and operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. This material is based upon work supported by the U.S Department of Energy, Advanced Research Projects Agency–Energy under grant DE-AR0001016. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.

Funding Information:
This work was authored in part by the National Renewable Energy Laboratory, managed and operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. This material is based upon work supported by the U.S Department of Energy, Advanced Research Projects Agency-Energy under grant DE-AR0001016. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Droop control
  • grid-following inverter
  • grid-forming inverter
  • net load management

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