Optimal planning of harmonic filters in an industrial plant considering uncertainty conditions

This paper presents an integrated approach feasible direction method and genetic algorithm (FDM+GA) to investigate the planning of large-scale passive harmonic filters. The optimal filter scheme can be obtained from a system under abundant harmonic current sources where harmonic amplification problems should be avoided. The constraints of harmonics with orders lower than the filter timed-points have been set stricter to avoid amplifying non-characteristic harmonics. In order to determine a set of weights of objective function representing the relative importance of each term, the simplest and most efficient form of triangular membership functions have been considered. The searching for an optimal solution has been applied to the harmonic problems in a chemical plant, where three 6-pulse rectifiers are used.