Transient Stability Assessment of Islanded Microgrids Through Quantum Computing

Yan Li, Liang Du

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

1 Scopus citations

Abstract

Quantum Fourier Transform (QFT) is introduced in this paper, which is a quantum implementation of discrete Fourier transform (DFT) that is a cornerstone of power system dynamics analysis. The essential idea of QFT and quantum circuit implementation have been developed to compute the frequency spectrum of the transient responses of microgrids under islanded operation with droop control. QFT reduces the complexity of DFT from O(N log2N) for classical computing to O(log2 2 N) for quantum computing. Thus, DFT for transient analysis can be performed exponentially faster than the fast Fourier transform in classical computers. Numerical examples of a typical networked microgrid system have tested and verified the effectiveness of QFT. It casts light on solving challenges through quantum algorithms that are hard for classical computers.

Original languageEnglish (US)
Title of host publication2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350397420
DOIs
StatePublished - 2023
Event2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023 - Detroit, United States
Duration: Jun 21 2023Jun 23 2023

Publication series

Name2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023

Conference

Conference2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
Country/TerritoryUnited States
CityDetroit
Period6/21/236/23/23

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Automotive Engineering
  • Transportation
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Transient Stability Assessment of Islanded Microgrids Through Quantum Computing'. Together they form a unique fingerprint.

Cite this