An Implementation of the Particle Swarm Optimization Algorithm in Optimizing Fuzzy Logic Control for DC-Link Voltage Regulation in SAPF Systems

Abstract

The increased use of electronic devices has caused power quality issues in the form of harmonic distortion. Shunt Active Power Filter (SAPF) offers a more effective and adaptable solution for reducing harmonics. This study aims to model, simulate, and evaluate the performance of the SAPF with DC-link voltage control using a Fuzzy Logic Controller (FLC) that is automatically optimized with the Particle Swarm Optimization (PSO) algorithm. The SAPF employs the instantaneous power theory approach to calculate the reference compensation current and a Hysteresis Current Controller (HCC) to operate the inverter and generate the appropriate compensation current. The simulation results show that without the SAPF, the current Total Harmonic Distortion (THD) reaches 20.77% and the voltage THD 4.83%. The basic implementation of the SAPF reduced the current THD to approximately 1.35% and the voltage THD to approximately 1.13%. The addition of FLC successfully decreased the current THD to around 0.71% and the voltage THD to about 0.55%, with a DC-link voltage overshoot of 1.06% and a Steady-State Error (SSE) of 0.41%. Applying FLC optimized with PSO significantly enhanced the performance, reducing the current THD to 0.36% and voltage THD to 0.35%, lowering the DC-link voltage overshoot to 0.85%, and decreasing the SSE to 0.31%. This study concludes that optimizing the FLC with PSO significantly improves the DC-link voltage control and the effectiveness of the SAPF in diminishing harmonics.

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