Optimizing AVR system performance via a novel cascaded RPIDD2-FOPI controller and QWGBO approach

Area of Science:

• Electrical Engineering
• Control Systems
• Optimization Algorithms

Background:

• Stable voltage is crucial for power system reliability and efficiency.
• Traditional automatic voltage regulators (AVRs) face challenges in robustness and response time.
• Voltage fluctuations can cause equipment damage and operational disruptions.

Purpose of the Study:

• To develop a novel approach for AVR control to enhance robustness and efficiency.
• To introduce the quadratic wavelet-enhanced gradient-based optimization (QWGBO) algorithm for AVR tuning.
• To improve the precision, stability, and response time of power system voltage regulation.

Main Methods:

• Development of the quadratic wavelet-enhanced gradient-based optimization (QWGBO) algorithm, enhancing gradient-based optimization (GBO) with quadratic and wavelet mutation strategies.
• Coupling QWGBO with a cascaded real proportional-integral-derivative with second order derivative (RPIDD2) and fractional-order proportional-integral (FOPI) controller for AVR.
• Extensive simulations and comparative assessments against existing optimization algorithms and recent techniques.

Main Results:

• The QWGBO algorithm demonstrated superior performance in benchmark function tests and optimization tasks.
• Comparative analyses confirmed QWGBO's effectiveness over existing optimization methods.
• Simulations verified the proposed QWGBO-tuned controller's ability to achieve precise, stable, and rapid voltage regulation in power systems.

Conclusions:

• The QWGBO algorithm is a highly effective tool for optimizing complex engineering problems, particularly in power system control.
• The proposed QWGBO-based AVR control strategy offers enhanced robustness and efficiency.
• This research contributes to the advancement of stable and efficient power system operations.