Improved Harmonic Mitigation with a SAP Filter Connected to a Renewable Energy Source using a Novel ANN Algorithm

The quality of electrical power can be compromised by a range of factors, including harmonic distortion resulting from non-linear loads. To counteract current harmonics generated by these non-linear loads, a shunt active power filter (SAPF) is employed. This study introduces a novel algorithm for detecting reference harmonic currents within SAPF connected to a two-level voltage converter, utilizing the ANN algorithm for this purpose, and PWM (Pulse Width Modulation) for pulse generation. The current control strategy incorporates an Artificial Neural Network (ANN) method to enhance power quality by compensating for harmonics and reactive power demanded by non-linear loads. This research involves a comparison between the performance of a SAPF using the ANN algorithm and that using the instantaneous P/Q theory. Through simulation analyses conducted across three distinct scenarios, various system parameters are evaluated, including source current with and without SAPF using the two different algorithms, ANN and PQ. Furthermore. The primary objective of this research is to offer valuable insights into the effectiveness of the ANN algorithm in improving power quality, so reducing harmonic pollution.