Power quality enhancement using fractional order type-2 fuzzy SHAF optimized with hPSOFA algorithm

Area of Science:

• Power Engineering
• Electrical Engineering
• Control Systems

Background:

• Traditional passive filters are impractical for multi-harmonic mitigation.
• Active power filters offer better performance but are costly.
• Need for advanced solutions for Reactive Power & Harmonic compensation (RPHC).

Purpose of the Study:

• Introduce a Shunt Hybrid Active Filter (SHAF) for RPHC.
• Develop an optimized Type-2 Fuzzy Fractional Order PID Controller (T2FFOPIDC) for enhanced performance.
• Compare the proposed SHAF with a Type-1 Fuzzy system.

Main Methods:

• Utilized Kalman Filter (KF) for reference current estimation.
• Employed a hybrid Particle Swarm Optimization (PSO) Firefly Algorithm (hPSOFA) for controller parameter tuning.
• Implemented a novel compensation strategy requiring source-side current.

Main Results:

• The hPSOFA-T2FFOPIDC-based SHAF demonstrated superior RPHC compared to the hPSOFA-T1FFOPIDC-based SHAF.
• Validated performance across balanced and unbalanced nonlinear loads.
• Experimental validation using dSPACE confirmed effectiveness.

Conclusions:

• The proposed hPSOFA-T2FFOPIDC-SHAF offers superior RPHC performance.
• The novel controller design and optimization strategy are effective.
• The system shows promise for improving power quality in electrical systems.