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

Reactive Power & Harmonic compensation (RPHC) represents a crucial area of investigation within the domains of power engineering. While passive filters have traditionally been favored for mitigating harmonics, their size becomes impractical when addressing multiple harmonics. In contrast, active power filters offer enhanced performance and address the limitations of passive filters, albeit at a higher cost. This study introduces a Shunt Hybrid Active Filter (SHAF) designed for RPHC. In our approach, the Kalman Filter (KF) is utilized for estimation of reference current per-unit (PU) quantity and the current reference crest value, which are derived from a Type-2 Fuzzy Fractional Order PID Controller (T2FFOPIDC). The optimal parameters for the T2FFOPIDC are determined using an innovative hybrid Particle Swarm Optimization (PSO) Firefly Algorithm (hPSOFA), with a focus on minimizing the ITAE. The suggested system is validated, taking balanced as well as unbalanced nonlinear loads, and the outcomes are contrasted with those obtained from an SHAF system based on the Type-1 Fuzzy Fractional Order PID Controller (T1FFOPIDC), which is also optimized using hPSOFA. The compensation strategy employed in the SHAF differs from the conventional (id-iq) or (p-q) techniques, as it necessitates the current from the source side. Various performance metrics, including Reactive Power (Q), THD, and PFS, are assessed to evaluate the effectiveness of the proposed controller. Case studies reveal that the hPSOFA-T2FFOPIDC-based SHAF demonstrates superior RPHC compared to the hPSOFA-T1FFOPIDC-based SHAF across various operational scenarios. Furthermore, the performance of the proposed hPSOFA-T2FFOPIDC-SHAF has been experimentally validated using dSPACE.