Comparative Analysis of Double-Tuned Harmonic Passive Filter Design Methodologies Using Slime Mould Optimization Algorithm

The increasing use of nonlinear loads in power systems generates harmonics, which adversely affects these systems' power quality performance. In this regard, double-tuned filters (DTFs) have received increasing attention in practice to mitigate the effects of power system harmonics. Different techniques have been presented in the literature to obtain the optimal design of DTF parameters using various optimization algorithms. In this work, three methods for designing DTFs- multi-arm method (MAM), direct design method (DDM), and analogy method (AM) between double-tuned and multi-arm single-tuned filters, are investigated and discussed. Further, an optimal design of DTF based on the three design methodologies is presented. A new metaheuristic optimization algorithm called the slime mould optimization algorithm (SMA) is employed to obtain the global filter parameters to minimize the active power losses of a distribution system with both source and load nonlinearities while enhancing the overall power quality performance of the system. The results obtained using the SMA are compared with the results obtained using other algorithms: salp swarm algorithm (SSA) and sine cosine algorithm (SCA) to show the proposed optimization algorithm's superiority and effectiveness.