A new control design strategy for automatic voltage regulator in power system.

Area of Science:

• Electrical Engineering
• Control Systems
• Computational Intelligence

Background:

• Automatic Voltage Regulators (AVRs) are crucial for maintaining stable power system voltages.
• Tuning Proportional-Integral-Derivative (PID) controller gains is essential for optimal AVR performance.
• Traditional tuning methods can be complex and may not yield optimal results.

Purpose of the Study:

• To propose a novel design technique for optimal PID controller gains in AVRs.
• To utilize the Cuckoo Search (CS) evolutionary algorithm for gain optimization.
• To evaluate and compare the performance of the proposed controller against existing methods.

Main Methods:

• Implementing the Cuckoo Search algorithm to find optimal PID gains for AVRs.
• Analyzing transient response characteristics: rise time, settling time, overshoot, and steady-state error.
• Conducting comparative analysis with other evolutionary algorithm-based controllers.
• Investigating controller robustness under 50% system uncertainty.
• Assessing system stability using root-locus and Bode plots.

Main Results:

• The proposed CS-based PID controller achieved superior dynamic performance compared to other controllers.
• Demonstrated significant improvements in energy efficiency, robustness, and convergence speed.
• The controller maintained stable performance across a wide range of open-loop gains, even with system uncertainties.

Conclusions:

• The Cuckoo Search algorithm provides an effective method for optimizing PID controller gains in AVRs.
• The proposed controller offers enhanced energy efficiency, robustness, and dynamic response for power systems.
• This technique represents a significant advancement in the field of power system control.