Steady state stability assessment using extreme learning machine based on modal analysis

Indar Chaerah Gunadin, Adi Soeprijanto, Ontoseno Penangsang

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

The growth of electricity market led to increase utilization and higher loading of the electric transmission grids worldwide. This situation made power system operate close to steady state stability limit (SSSL). It could trigger voltage instability or voltage collapse phenomenon. An assessment approach on steady state stability analysis was provided using Extreme Learning Machine taking the Modal Analysis as an assessment index. The nonlinear problem between voltage, power flow and participation factor in power system could be solved by Extreme Learning Machine. The method was tested on the IEEE 14 bus and Java-Bali system. The simulation results showed that the proposed method could accurately predict the weakest bus in power system.

Original languageEnglish
Pages (from-to)4532-4537
Number of pages6
JournalInternational Review of Electrical Engineering
Volume7
Issue number3
Publication statusPublished - Jun 2012

Keywords

  • Extreme learning machine
  • Modal analysis
  • Steady state stability
  • Voltage collapse

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