Distributed Secondary Frequency Regulation in AC Microgrid with Arbitrary Convergence Time Control

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

2 Scopus citations

Abstract

This paper presents a new approach for designing the arbitrary time-convergent distributed secondary frequency control for AC microgrid (MG). The proposed controller will regulate the frequencies of distributed generators (DGs) to the desired reference value within the user-defined arbitrarily selected time. In addition to restoring frequency, the designed scheme achieves optimal consensus for incremental costs, i.e., it effectively distributes the power load across all DGs. The convergence analysis of both tracking and consensus error is mathematically proven using the Lyapunov stability theory, ensuring arbitrary time convergence. The simulation analysis with comparative case studies demonstrates the superior performance of the proposed decentralized arbitrary time-convergent algorithm compared to existing fixed-time and finite-time approaches.

Original languageEnglish
Title of host publication2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages646-651
Number of pages6
ISBN (Electronic)9798350395075
DOIs
StatePublished - 2024
Event2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024 - Kuching, Malaysia
Duration: 24 Nov 202427 Nov 2024

Publication series

Name2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024

Conference

Conference2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024
Country/TerritoryMalaysia
CityKuching
Period24/11/2427/11/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Distributed control
  • Incremental cost
  • Lyapunov theory
  • Microgrid
  • arbitrary time convergence

ASJC Scopus subject areas

  • Transportation
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Modeling and Simulation
  • Energy Engineering and Power Technology

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