Research on robust adaptive control of strong nonlinear complex large power grids

Area of Science:

• Electrical Engineering
• Control Systems
• Power Systems

Background:

• Ultra-complex power systems face challenges from parameter uncertainties and external disturbances.
• Maintaining stability and performance requires robust control strategies for multi-input multi-output (MIMO) systems.

Purpose of the Study:

• To propose and validate a Multi-Index Nonlinear Robust Adaptive Control (MINRAC) method.
• To ensure multiple critical system indices are controlled at their desired values under uncertain conditions.

Main Methods:

• Development of a MINRAC controller for MIMO power systems.
• Utilizing adaptive control to adjust uncertain parameter values.
• Employing power angle, angular frequency, and terminal voltage as control constraints.

Main Results:

• The MINRAC method demonstrated excellent static and dynamic characteristics.
• Consistent control mechanism observed in both single-machine infinite bus and multi-machine interconnected systems.
• Effective stabilization during three-phase short circuits, ensuring wide-range stability and improved dynamic performance.

Conclusions:

• The MINRAC method provides robust and adaptive control for complex power systems.
• It effectively manages parameter uncertainties and external disturbances.
• The controller ensures system stability and optimal dynamic performance, even during severe faults.