Optimal Placement and Sizing of Active Power Filters in RDS Using TLBO for Harmonic Distortion Reduction
摘要
This paper focuses the optimal placement and sizing (OPAS) of active power filters (APFs) in a radial distribution system (RDS) for harmonic reduction. The optimization problem is constrained and nonlinear. The placement of APFs is achieved through a recently developed technique called nonlinear load (NL) position-based current injection (NLPCI). The optimal size of APFs to reduce the total harmonic distortion in voltage (THDV) to meet IEEE standards, a teaching-learning-based optimization (TLBO) algorithm is used, and its performance is compared to that of flower pollination (FPA) and bird swarm (BSA) algorithms. The results indicate that the TLBO outperforms the other algorithms in computational performance, as demonstrated using an IEEE 69-bus RDS with NL and nonlinear distributed generation (NLDG).