Thanatchai, Kulworawanichpong

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  M.Gh. Negoita et al. (Eds.): KES 2004, LNAI 3215, pp. 687–694, 2004. © Springer-Verlag Berlin Heidelberg 2004 Harmonic Identification for Active Power Filters Via Adaptive Tabu Search Method Thanatchai Kulworawanichpong, Kongpol Areerak,  Kongpan Areerak, and Sarawut Sujitjorn School of Electrical Engineering, Suranaree University of Technology Nakhon Ratchasima, 30000, Thailand sarawut@ccs.sut.ac.th Abstract. Harmonic identification by using Adaptive Tabu Search (ATS) Method embedded in the active power filter is proposed in this paper. The use of the ATS identifies harmonic components more accurately and precisely. Be-sides the accuracy and precision, it is able to select only some particular har-monic orders that cause severe consequences to the system for elimination. This principle thus leads to the reduction in size and cost of hardware imple-mentation + active power filters. In this paper, two test current waveforms are simulated to validate and verify the performance of the proposed algorithm. The satisfactory results obtained by this identification method are also com-pared against those obtained by the d-q axis based harmonic identification method. As a result, the ATS based method has better performance for elimi-nating only selective harmonic orders over the d-q method. Furthermore, the compensated current from the proposed method has a good transient response while there is the first-cycle delay due to the use of the d-q method. 1   Introduction To date, power electronic converters have been successfully developed and widely used in various industrial applications. Their principle is based on the high-speed operation of power switching devices in such a way that their waveforms are charac-terized in order to control power transfer between the two sides of the converters. It is the fact that the use of such high-speed devices operating at higher frequency than the fundamental inevitably causes undesired harmonic components. These components are troublesome to power supplies especially ones with highly sensitive electronic loads. Harmonic as “pollution” in electrical networks may cause unpredictable events to harm electric appliances such as cogging and crawling in motors [1], reduction in accuracy and precision of protective devices which could damage a power system or even harm the system operators [2, 3]. In general, harmonic power filters can be categorized into passive and active classes. For passive filters, they are limited to fixed orders for compensation. A design must set up the filter to compensate some selected harmonic components  only,  while  the  others 

Harmonic identification for active power filters via adaptive tabu search method

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Harmonic identification for active power filters via adaptive tabu search method

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