A Phasor Particle Swarm Optimization Based Power Mismatch Control for MMC-APF with PV

The modular multilevel converter based active power filter (MMC-APF) integrated with the photovoltaic (PV) not only compensates for grid harmonics and reactive power but also optimally leverages the energy output of the PV source. However, due to the inherent volatility of PV systems, the MMC encounters power mismatches. In addressing the power mismatch issue, the parameter selection process posed a critical challenge, requiring careful tuning to ensure optimal system performance. To address the issue of complex parameter tuning in the power control process of MMC-UPQC with PV, this paper proposes a phasor particle swarm optimization (PPSO) based proportional integral resonant (PIR) power control strategy for MMC-APF with PV, to better eliminate power mismatches and restore current quality. First, the causes of power mismatches in PV submodules (PSMs) are analyzed. And a strategy for eliminating power mismatches is designed by injecting current. Then, the integration of PIR control enables the proposed strategy to compensate for current harmonics and improve current quality. Finally, the PPSO algorithm is applied to optimize the PIR controller parameters, ensuring optimal performance. The proposed PPSO-optimized power control strategy is validated on the MATLAB/Simulink platform, demonstrating its effectiveness and superiority.