Multi-objective optimization of double-tuned filters in distribution power systems using Non-Dominated Sorting Genetic Algorithm-II

Abstract

Passive filters are commonly used for harmonic mitigation and power factor correction in industrial power systems supplying non-linear loads. This paper firstly employs optimal design of two damped double-tuned filter schemes to minimize the filter and system,s line loss while the individual and total harmonic distortion limits of the IEEE 519 standard and desired interval of the displacement power factor as constraints. For the solution of the formulated multi-objective optimization problem, Non-Dominated Sorting Genetic Algorithm (NSGA-II) is used. The results show that both schemes have the same fundamental frequency reactive power compensation, the line loss reduction and voltage regulation capabilities for the typical industrial power system with distorted background voltage and non-linear loads. On the other hand, it is also observed that the first studied scheme has considerable lower loss, while the second one has considerably higher current harmonic mitigation capability.