Power Quality Improvement through Harmonic Filters Using Tasmanian Devil Optimization Algorithm

Abstract

To enhance power quality (PQ) through active power filters (APF) in radial distribution systems (RDS), this study investigates the application of the Tasmanian Devil Optimization (TDO) and Osprey Optimization Algorithm (OOA). Despite their benefits, the growing use of solar photovoltaic (PV) systems presents challenges with PQ, including harmonic distortion because of their nonlinear features. Harmonics are the leading cause of low PQ in such systems. Here, the PV injects harmonics into the RDS and is categorized as a nonlinear distribution generator (NLDG). This study examines the effect of the nonlinear loads (NLs) of two end nodes and the incorporation of the NLDG into the RDS on the entire RDS. APFs are positioned carefully to reduce the harmonics and improve the PQ. The suggested method minimizes the APF current while abiding by inequality limitations by utilizing an optimization algorithm. The TDO was used to determine the appropriate APF size. It is inspired by natural processes such as photosynthesis. It has a good balance between exploration and exploitation for effective search. The efficacy of the TDO was demonstrated through simulations on the IEEE-69 bus RDS and was compared with that of the OOA. The outcomes validate that the TDO is stable and efficient in resolving this optimization issue for PQ enhancement in RDS.