Open AccessA new design algorithm for hybrid active power filter
Author(s) -
Chau Minh Thuyen
Publication year - 2019
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v9i6.pp4507-4515
Subject(s) - computer science , particle swarm optimization , ac power , total harmonic distortion , compensation (psychology) , harmonic , power (physics) , control theory (sociology) , grid , voltage , distortion (music) , algorithm , electric power system , stability (learning theory) , mathematical optimization , mathematics , control (management) , engineering , electrical engineering , computer network , machine learning , psychology , amplifier , physics , geometry , bandwidth (computing) , quantum mechanics , artificial intelligence , psychoanalysis
The correct determination of the parameters of Hybrid Active Power Filter (HAPF) plays a decisive role in its performance. Therefore, this paper proposes a new design algorithm for HAPF based on the Social Spider Algorithm (SSA). This algorithm has the advantage that it is possible to determine the parameters of both the power circuit part and the control circuit part of HAPF. The achieved results are multi-purpose, such as: minimum total harmonic distortion of the supply current and source voltage, the maximum reactive power compensation into the system and satisfy many constraints such as: system stability, resonance conditions of the branches and the limits of the parameters. Compared to traditional design method using the Particle Swarm Optimization algorithm, the proposed algorithm shows the advantages of smaller total harmonic distortion of supply current and source voltage, and higher reactive power compensation into the grid while still meeting the constraints.