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.
| Original language | American English |
|---|---|
| Journal | Proceedings of the 22nd IEEE Power Engineering Society International Conference on Power Industry Computer Applications, 2001. PICA 2001 |
| DOIs | |
| State | Published - Jan 1 2001 |
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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