A quasi-oppositional FBI algorithm driven fuzzy cascaded fractional-order controller for enhancing transient...

Area of Science:

• Power Systems Engineering
• Control Theory
• Renewable Energy Integration

Background:

• Integrating renewable energy sources (wind, solar) and pumped hydrogen energy storage (PHES) presents challenges for power system stability.
• Maintaining frequency and tie-line power stability is crucial for reliable grid operation, especially in hybrid systems.

Purpose of the Study:

• To design and evaluate an intelligent fuzzy fractional-order proportional-integral-derivative (FFOPID) controller for frequency regulation in hybrid power systems.
• To optimize the FFOPID controller parameters using forensic-based investigation (FBI) and quasi oppositional-based FBI (QOFBI) algorithms.

Main Methods:

• Development of a novel FFOPID (1+FOPI) controller.
• Optimization of controller parameters using QOFBI and FBI algorithms.
• Simulation analysis in diverse power system scenarios comparing the proposed controller with others.

Main Results:

• The QOFBI-based FFOPID controller demonstrated superior performance in frequency regulation compared to existing controllers.
• Significant improvements were observed in reducing undershoot, overshoot, and settling time.
• The controller effectively minimized frequency and tie-line power deviations.

Conclusions:

• Intelligent optimization combined with fuzzy logic-based fractional-order control enhances system robustness during transient conditions.
• Pumped hydrogen energy storage is a viable solution for maintaining frequency stability in future smart grids dominated by renewables.