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Impact of Self-healing Control on Reliability Evaluation in Distribution System with Microgrid

  • Qihuan Dong
  • , Jiaojiao Dong
  • , Lin Zhu
  • , Paychuda Kritprajun
  • , Yunting Liu
  • , Yilu Liu
  • , Leon M. Tolbert
  • , Joshua C. Hambrick
  • , Kevin Schneider
  • , Stuart Laval

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

Abstract

As two effective ways to enhance power system reliability, self-healing control and microgrids have been implemented in advanced distribution systems. This paper presents a quantitative approach to assess the benefits of deploying self-healing control and/or a microgrid in improving distribution system reliability. The proposed method utilizes time-sequential Monte Carlo simulation method and further integrates the service restoration and three-phase power flow constraints to accommodate practical distribution system complexity. To reduce the computation burden in searching for optimal service restoration strategy, this paper proposes a heuristic algorithm to find a practical service restoration strategy according to the topology constraints and the constraints of three-phase power flow. Tests on a four-feeder distribution system show that both the system-level reliability and the critical load level reliability are significantly improved after deploying the self-healing control and microgrid.

Original languageEnglish (US)
Title of host publicationProceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe
Subtitle of host publicationSmart Grids: Toward a Carbon-Free Future, ISGT Europe 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665448758
DOIs
StatePublished - 2021
Event11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021 - Espoo, Finland
Duration: Oct 18 2021Oct 21 2021

Publication series

NameProceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021

Conference

Conference11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021
Country/TerritoryFinland
CityEspoo
Period10/18/2110/21/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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