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Power System Monitoring and Control by Yasunori Mitani, Masayuki Watanabe, Hassan Bevrani

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Index

  • ACE. See Area control error (ACE)
  • AC MG frequency response model
  • Adaptive neuro-fuzzy inference system (ANFIS)
    • closed-loop control system
      • for VSI-based inverter
    • generalized droop control concept
    • inputs and outputs
    • structure of
    • trained network output vs. real output
    • VSI inverter-based MG
  • AGC. See Automatic generation control (AGC)
  • Algebraic Riccati equation (ARE)
  • Algorithms
    • artificial neural network (ANN)
    • back-propagation (BP)
    • ECS (ACA-ECS) algorithm
    • genetic
    • iterative linear matrix inequalities (ILMI)
    • LS algorithm
    • PSO
    • statistical cooperative power dispatching (SCPD)
    • UFLS/UVLS
  • Analog network simulator (ANS)
  • ANFIS. See Adaptive neuro-fuzzy inference system (ANFIS)
  • Angle and voltage control
  • Angle–voltage deviation graph
  • Angular velocity
  • ANN. See Artificial neural network (ANN)
  • ANN-based self-tuning frequency control
    • in intelligent control
    • proposed control scheme
      • ANN structure used for PI tuning
      • system response
      • updating weights via back-propagation learning
  • Area control error (ACE)
    • calculation
    • effects of local load changes and interface
    • signals, filtered before
  • Artificial neural network (ANN)
    • intelligent control structures
    • MG test system
    • PI tuning
  • Artificial neural networks
  • Automatic frequency and voltage controls
  • Automatic generation control (AGC)
    • communicate with SCADA
    • frequency-dependent reserves, activated by
  • Automatic voltage regulators (AVRs)
    • challenge/limitations
    • conventional
    • direct feedback linearization (DFL) is used to design
    • integrated ...

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