Enhanced hybrid microgrid stability with electric vehicle integration using PDA-FOPIID control optimized by tianji's...

Area of Science:

• Electrical Engineering
• Control Systems
• Renewable Energy Integration

Background:

• Hybrid microgrids face challenges in voltage and frequency stability due to renewable energy sources and electric vehicle integration.
• Coupled active/reactive power dynamics degrade performance and complicate tie-line power balance.
• Existing control strategies struggle to effectively decouple voltage and frequency regulation.

Purpose of the Study:

• To propose a novel cascaded controller for robust secondary control in hybrid microgrids.
• To decouple voltage and frequency regulation and improve transient response.
• To optimize the controller using Tianji's Horse Racing Optimization (THRO) algorithm.

Main Methods:

• Development of a cascaded Proportional-Derivative-Acceleration (PDA) and Fractional-Order Proportional-Integral-Double Integral-Derivative (FOPIID) controller.
• Optimization of controller parameters using the Tianji's Horse Racing Optimization (THRO) algorithm.
• Validation through extensive MATLAB/Simulink simulations under various operating conditions.

Main Results:

• The proposed PDA-FOPIID controller effectively decouples voltage and frequency regulation, enhancing transient response.
• THRO optimization yielded superior performance with the lowest Integral Time-Square Error (ITSE) of 0.0297 compared to other algorithms.
• Simulations demonstrated approximately 48% faster settling time, improved damping, and superior voltage/frequency stability against benchmark controllers.

Conclusions:

• The PDA-FOPIID controller offers a promising solution for improving the reliability and resilience of hybrid microgrids.
• The controller is effective under diverse operating conditions, including high renewable penetration and electric vehicle integration.
• This approach significantly enhances dynamic performance and stability in modern power systems.