Methodology for online identification of dynamic behavior of power systems with an increased amount of power electronics interface units

Panagiotis Papadopoulos, Jovica V. Milanović

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Abstract

A methodology for online and offline dynamic stability assessment, suitable for power systems with high penetration of power electronics interface units is presented in this paper. The increasing penetration of renewable energy resources as well as changing market operations, new types of loads and storage technologies, are causing significant changes to power systems dynamic behavior. Unstable generator groups and generators exhibiting poorly damped oscillatory behavior are identified online, opening the possibility to corrective control actions in order to stabilize the system. Moreover, statistical analysis of the abundant data from simulations provides information on the overall impact of power electronics interface units on system stability.
Original languageEnglish
Pages (from-to)171-180
Number of pages10
JournalCSEE Journal of Power and Energy Systems
Volume5
Issue number2
Early online date7 Mar 2019
DOIs
Publication statusPublished - 30 Jun 2019

Keywords

  • decision trees
  • dynamic security assessment
  • probabilistic transient stability

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