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A Hybrid Koopman Approach for Stability Analysis of DC Microgrids with Constant Power Loads

  • SUNY Buffalo

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

Abstract

This paper presents a Koopman Hybrid System Identification Method (KHSIM) for estimating the Region of Attraction (ROA) in DC microgrids with constant power loads (CPLs). Unlike small-signal methods, KHSIM directly addresses large-signal stability. This is achieved by constructing Lyapunov functions from Koopman eigenfunctions and applying Sum of Squares (SOS) optimization. To validate the approach, offline trajectory data was collected from a Hardware-in-the-Loop (HIL) platform with a DSP-controlled CPL emulator. The results show that KHSIM produces ROA estimates that closely match observed stability boundaries and are significantly less conservative than traditional SOS methods. These findings confirm that the proposed method is compatible with practical experimental data, offering a computationally feasible tool for stability assessment in microgrid applications.

Original languageEnglish
Title of host publication2026 IEEE Transportation Electrification Conference and Expo and Electric Aircraft Technologies Symposium, ITEC+EATS 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331587734
DOIs
StatePublished - 2026
Event2026 IEEE Transportation Electrification Conference and Expo and Electric Aircraft Technologies Symposium, ITEC+EATS 2026 - Novi, United States
Duration: Jun 10 2026Jun 12 2026

Publication series

Name2026 IEEE Transportation Electrification Conference and Expo and Electric Aircraft Technologies Symposium, ITEC+EATS 2026

Conference

Conference2026 IEEE Transportation Electrification Conference and Expo and Electric Aircraft Technologies Symposium, ITEC+EATS 2026
Country/TerritoryUnited States
CityNovi
Period06/10/2606/12/26

Keywords

  • Constant Power Loads
  • DC Microgids
  • EV
  • Koopman Operator
  • More Electric Aircraft
  • Region of Attraction
  • Sum of Squares
  • System Identification

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