Robust load frequency control in renewable integrated Multi Area grids using hybrid SA and QIO tuned PIDF controller.

Area of Science:

• Electrical Engineering
• Control Systems
• Renewable Energy Integration

Background:

• Renewable energy sources introduce instability challenges in power grids.
• Conventional controllers struggle with intermittent generation and load changes.
• Existing optimization algorithms have limitations like premature convergence or inefficiency.

Purpose of the Study:

• To develop a robust load frequency control strategy for power systems with high renewable penetration.
• To enhance frequency stability under dynamic disturbances like solar irradiance fluctuations and load variations.
• To overcome the limitations of traditional PID and other advanced controllers.

Main Methods:

• Proposed a hybrid Simulated Annealing-Quadratic Interpolation Optimizer (hsa-QIO) tuned filtered PID (PID-F) controller.
• Utilized MATLAB/Simulink for simulations under dynamic solar irradiance and random load perturbations.
• Evaluated controller performance against existing methods like ANN-PID, GA-PID, and SVM-PID.

Main Results:

• Achieved a 55.7% reduction in Integral Time-weighted Absolute Error (ITAE) compared to QIO.
• Demonstrated 25% lower overshoot and 50% faster settling time in Area 1.
• Showcased superior tie-line regulation and statistical robustness with significantly lower ITAE deviation.

Conclusions:

• The hsa-QIO-tuned PID-F controller offers a computationally efficient and robust solution for load frequency control.
• The proposed method ensures stringent frequency stability in grids with high renewable energy integration.
• This approach effectively addresses the challenges posed by intermittency and nonlinear dynamics.