Coordinated Restoration Model of Renewable Energy and Conventional Generator Units after Faults

  • Zhenyu Zhang
  • , Weizhou Wang
  • , Jia Lyu
  • , Yitong Li
  • , Jun Liu

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

2 Scopus citations

Abstract

Utilizing the islanding operation ability of the renewable energy generators to restore as much power supply after faults, can not only increase the consumption of renewable energy, but also enhance the power supply reliability of the power system, thereby improve the resilience of the power system. This paper proposes a novel coordinated restoration model to optimize the islanding partition stage for a total or partial blackout system. Firstly the restoration principles of generators in the system restoration process after fault, are proposed in terms of factors that affect the restoration priority. An analytic hierarchy model is then proposed to determine the main generators for islands based on the principles. Secondly, an islanding model is established to divide the total or partial blackout system into optimal electricity supply islands with the main generators obtained as root nodes. The islanding optimization model is solved using an improved genetic algorithm. Finally, case studies are performed to verify the effectiveness of the proposed coordinated restoration model and solving method.

Original languageEnglish
Title of host publicationAPAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1667-1671
Number of pages5
ISBN (Electronic)9781728117225
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019 - Xi'an, China
Duration: 21 Oct 201924 Oct 2019

Publication series

NameAPAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection

Conference

Conference8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019
Country/TerritoryChina
CityXi'an
Period21/10/1924/10/19

Keywords

  • Coordinated Restoration
  • Genetic Algorithm
  • Renewable Energy
  • Resilience
  • Restoration Priority

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