An improved approach for robust control of dynamic voltage restorer and power quality enhancement using grasshopper...

Area of Science:

• Electrical Engineering
• Power Systems
• Control Systems

Background:

• Distribution networks face voltage disturbances like sag, swell, and imbalance, impacting power quality.
• Dynamic Voltage Restorers (DVR) are crucial for mitigating these voltage issues and ensuring stable power supply.
• Existing control schemes may lack efficiency or robustness in handling diverse power system disturbances.

Purpose of the Study:

• To propose a novel, low-complexity control scheme for dynamic voltage restorer (DVR) voltage control.
• To enhance power quality by improving voltage stabilization, energy efficiency, and harmonic distortion reduction.
• To optimize the controller's performance using metaheuristic algorithms for superior dynamic response.

Main Methods:

• An error-driven Proportional-Integral-Derivative (PID) controller is employed for voltage regulation.
• The Grasshopper Optimization Algorithm (GOA) is utilized to tune the PID controller's gain parameters.
• Comparative analyses include fractional-order PID (FOPID) and Active Disturbance Rejection Controller (ADRC), alongside other optimization techniques (CSA, FBA, GWO).

Main Results:

• The proposed optimized PID controller demonstrates superior performance in voltage enhancement and stabilization compared to conventional ADRC.
• The GOA-tuned PID controller effectively mitigates various voltage disturbances, including balanced/unbalanced sag/swell, imbalance, notching, and fault conditions.
• Comparative evaluations show the proposed method achieves a global minimum error and fast dynamic response, outperforming FOPID and other optimization techniques.

Conclusions:

• The developed low-complexity control scheme for DVRs significantly improves power quality in distribution networks.
• The GOA-optimized PID controller offers a robust and efficient solution for voltage control under diverse and severe disturbances.
• Time-domain simulations validate the effectiveness and practical applicability of the proposed DVR control strategy.