Open Access
Optimal planning of passive harmonic filters using hybrid differential evolution considering variation of system parameters
Author(s) -
Yang Chienfeng,
Lai Gordon G.,
Su ChingTzong
Publication year - 2013
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.1658
Subject(s) - total harmonic distortion , harmonic , probabilistic logic , filter (signal processing) , control theory (sociology) , monte carlo method , voltage , electric power system , electronic filter , computer science , electronic engineering , engineering , power (physics) , mathematics , physics , statistics , control (management) , quantum mechanics , artificial intelligence , electrical engineering , computer vision
SUMMARY This paper presents an optimal planning of passive harmonic filter using the hybrid differential evolution method considering variation of system impedance, harmonic current sources and filter tuning points. The proposed method minimizes an objective composed of the total harmonic distortion of current and voltage, selects different filters topologies, and determines their optimal parameters and tuned points under a constant cost. The harmonic currents and voltages in a power system are expressed as probabilistic models which are obtained using the statistical simulation method. Monte‐Carlo simulation is employed to verify the accuracy of the obtained probabilistic models. The method proposed is applied to solve the harmonic problems in a practical chemical plant, and the results show that the proposed method is effective for passive filter planning in industrial distribution systems. Copyright © 2012 John Wiley & Sons, Ltd.