MULTI-OBJECTIVE OPTIMIZATION OF DOUBLE-TUNED FILTERS IN DISTRIBUTION POWER SYSTEMS USING NON-DOMINATED SORTING GENETIC ALGORITHM-II

Abstract

This thesis proposes an optimization method to find the optimal design of different filters’ types to reduce harmonic distortion in electrical power systems, and thus improving power quality performance of these systems. Non-dominated sorting genetic algorithm (NSGA-II) has been employed and tested using MATLAB. In this thesis, the operating principles of the single and double-tuned filters and the design equations to calculate its parameters directly from the known power system data are presented. Further, a comparative analysis between multi-arm single-tuned filter and double-tuned filter to investigate the performance of both filters in mitigating harmonics and improving parameters of power quality is introduced. Then, a performance of two different configurations of damped double-tuned filter is investigated in reducing bo