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

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

Research output: Contribution to conferencePaper

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., lost a large generation unit). The NLM engine is a central dispatch control system that provides high-speed cost-optimal coordination of a set of net loads (combination of generation and deferrable loads) connected to the same electrical network. 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. The experimental results indicate that the NLM engine can achieve the targeted system voltage and frequency and balance load and generation to serve the critical facility.
Original languageAmerican English
Number of pages8
StatePublished - 2022
EventIEEE PES Innovative Smart Grid Technologies Conference (ISGT NA) - New Orleans, Louisiana
Duration: 24 Apr 202228 Apr 2022

Conference

ConferenceIEEE PES Innovative Smart Grid Technologies Conference (ISGT NA)
CityNew Orleans, Louisiana
Period24/04/2228/04/22

Bibliographical note

See NREL/CP-5D00-83785 for paper as published in proceedings

NREL Publication Number

  • NREL/CP-5D00-80839

Keywords

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

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