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Efficient Online Uncertainty Evaluation for Microgrid Systems

  • University of Texas at Arlington
  • Stony Brook University
  • University of Virginia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this study, we present a method for online estimation of the mean performance output in microgrid systems subject to high-dimensional and dynamic uncertainties. We integrate an efficient Multivariate Probabilistic Collocation Method (MPCM) based sampling strategy with a Copula-based conditional probability distribution. This integrated method enables online evaluation of system outputs with high estimation accuracy and efficiency. The online evaluation algorithm is developed, and its theoretical analysis is provided. Real Time Digital Simulator (RTDS) experiments validate the method, demonstrating its feasibility for practical applications.

Original languageEnglish
Title of host publication2025 IEEE International Conference on Systems, Man, and Cybernetics
Subtitle of host publicationNavigating Frontiers: Smart Systems for a Dynamic World, SMC 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5728-5735
Number of pages8
ISBN (Electronic)9798331533588
DOIs
StatePublished - 2025
Event2025 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2025 - Hybrid, Vienna, Austria
Duration: Oct 5 2025Oct 8 2025

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X
ISSN (Electronic)2577-1655

Conference

Conference2025 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2025
Country/TerritoryAustria
CityHybrid, Vienna
Period10/5/2510/8/25

Keywords

  • Microgrid systems
  • online evaluation
  • RTDS experiment
  • uncertainty evaluation

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