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A Nonlinear Voltage Controller with Derivative Adaptive Critics for Multimachine Power Systems

    • Missouri University of Science and Technology

    Research output: Contribution to journal › Article › peer-review

    Abstract

    Based on derivative adaptive critics, a novel nonlinear optimal voltage/excitation control for a multimachine power system is presented. The feedback variables are completely based on local measurements. Simulations on a three-machine system demonstrate that the nonlinear controller is much more effective than the conventional PID controller equipped with a power system stabilizer for improving dynamic performance and stability under small and large disturbances.

    Keywords

    • Artificial Neural Networks
    • Backpropagation
    • Derivative Adaptive Critics
    • Dynamic Performance Improvement
    • Feedback Variables
    • Feedforward Neural Nets
    • Large Disturbances
    • Local Measurements
    • Multilayer Perceptrons
    • Multimachine Power System
    • Neurocontrollers
    • Nonlinear Control Systems
    • Nonlinear Controller
    • Nonlinear Optimal Excitation Control
    • Nonlinear Optimal Voltage Control
    • Optimal Control
    • Power System Control
    • Power System Stability
    • Small Disturbances
    • Stability Improvement
    • Three-Machine System
    • Voltage Control
    • Voltage Regulation

    Disciplines

    • Electrical and Computer Engineering

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