A Numerical Approach for Hybrid Simulation of Power System Dynamics Considering Extreme Icing Events

Lizheng Chen, Hengxu Zhang, Qiuwei Wu, Vladimir Terzija

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

The global climate change leads to more extreme meteorological conditions such as icing weather, which have caused great losses to power systems. Comprehensive simulation tools are required to enhance the capability of power system risk assessment under extreme weather conditions. A hybrid numerical simulation scheme integrating icing weather events with power system dynamics is proposed to extend power system numerical simulation. A technique is developed to efficiently simulate the interaction of slow dynamics of weather events and fast dynamics of power systems. An extended package for PSS/E enabling hybrid simulation of icing event and power system disturbance is developed, based on which a hybrid simulation platform is established. Numerical studies show that the functionality of power system simulation is greatly extended by taking into account the icing weather events.

Original languageEnglish
Article number7873358
Pages (from-to)5038-5046
Number of pages9
JournalIEEE Transactions on Smart Grid
Volume9
Issue number5
DOIs
Publication statusPublished - Sep 2018
Externally publishedYes

Keywords

  • Extreme meteorological conditions
  • hybrid simulation
  • icing weather
  • power system modeling

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