Online Adaptive Parameter Estimation of a Finite Control Set Model Predictive Controlled Hybrid Active Power Filter

This paper presents a novel strategy for online parameter estimation in hybrid active power filter (HAPF). HAPF makes use of existing capacitor banks which it combines with an (APF) order to dynamically compensate reactive power. The equipment is controlled finite control set model predictive (FCS-MPC) due its already well-known fast dynamic response. similar grid-connected LCL-filtered converter, so the direct current can cause resonances and instabilities. To solve this, indirect control, using voltage inverter-side current, applied cost function, creates high dependency between system parameters capability load evaluated by simulations, bank reactance shown be most sensitive parameter, and, thus, responsible inaccuracies FCS-MPC references. In minimize this problem without increasing complexity algorithm, technique, based on adaptive notch filters, proposed. proposed algorithm tested laboratory prototype demonstrate ability follow variations reactance, effectively correcting reference providing compensation. During tests, was capable keeping supplied within 1% error, even situation 33% variation reactance.