MOSELM approach for Voltage Stability Indicator using phasor measurement units

• 主要な著者: Abidin I.Z., Yap K.S., Saadun N., Abdullah S.K.S., Mohd Sarmin M.K.N.
• その他の著者: 35606640500
• フォーマット: Conference paper
• 出版事項: 2023
• 主題: Artificial Intelligence; Kalman Filter; Online Sequential Extreme Learning Machine; Phasor Measurement Units; Voltage Stability; Algorithms; Artificial intelligence; Electric power system interconnection; Kalman filters; Knowledge acquisition; Learning systems; Loading; Phasor measurement units; Voltage control; Current phasors; Extreme learning machine; Filter approach; Loading values; Online learning; Online sequential extreme learning machine; Thevenin equivalent; Voltage stability assessment; Voltage stability indicators; Voltage stabilizing circuits

Voltage stability assessment is important in order to ensure a stable power system. Two algorithms were discussed in this paper which looks into estimating voltage stability based upon Thevenin Equivalent values in a system using Voltage and Current Phasors for different loading values. The first al...