Coordinating self-healing control of bulk power transmission system based on a hierarchical top-down strategy

Xi Cao, Hongtao Wang, Yutian Liu, Rasoul Azizipanah-Abarghooee, Vladimir Terzija

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Top-down power system restoration following a widespread blackout begins with energization of the backbone transmission network. All interconnected regions will be restored as a whole, which needs collaboration of multiple operators. The parallel control and integrated restoration planning issues have to be addressed. In order to conduct an efficient top-down restoration process and guarantee the operational security, a hierarchical coordination mechanism and an online decision support system-based self-healing approach are proposed. Considering the multiple decision-making problems involved, an associated bi-level optimization model is built, which integrates the planning problems of backbone reconfiguration, sub-transmission system restoration, and non-black-start units start-up. Then, a solution methodology is developed to provide online decisions based on the model. Simulation results of Shandong Power System in China show that the restoration performance is significantly improved using the proposed control approach. Additionally, the decision method is proved to be efficient enough for online applications.

Original languageEnglish
Pages (from-to)147-157
Number of pages11
JournalInternational Journal of Electrical Power and Energy Systems
Volume90
DOIs
Publication statusPublished - 1 Sep 2017
Externally publishedYes

Keywords

  • Bi-level optimization
  • Coordination mechanism
  • Decision support system
  • Power system restoration

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