Design of an active power filter using adaptive tabu search

Authors:
T. Narongrit;K.-L. Areerak;A. Srikaew
Affiliations:
Power Quality Research Unit, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand;Power Quality Research Unit, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand;Power Quality Research Unit, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand
Venue:
AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Year:
2009

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Abstract

This paper deals with a design of active power filters using an artificial intelligence method called the adaptive tabu search. The simulation results show that the proposed method can efficiently minim?ze %THD of the currents at a PCC point. Moreover, this approach is convenient and flexible for electrical power engineers to design an active power filter with good performances.