2012 : Steady state stability assessment using extreme learning machine based on modal analysis
Prof. Dr. Ontoseno Penangsang Ir. M.Sc.
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 steadystate stability limit (SSSL). It could trigger a voltage instability or a 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.