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.

Meeting Name

22nd IEEE Power Engineering Society International Conference on Power Industry Computer Applications, 2001. PICA 2001

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

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

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2001 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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