DocumentCode
482774
Title
Adaptive active filter for interfacing wind-power DGs to distribution systems
Author
Wang, Lin ; Gu, Chenglin ; Cheung, Haywood ; Liu, Weidong ; Lee, Ivan ; Cheung, Richard
Author_Institution
Ryerson Univ., Toronto, ON
fYear
2008
fDate
17-20 Oct. 2008
Firstpage
2536
Lastpage
2541
Abstract
Wind-power distributed generation (DG) converters may inject considerable amount of harmonics into their connected distribution systems that could exceed its connected utility tolerance or IEEE 1547 Std. limits. This paper presents a new adaptive harmonics detection active (AHDA) filter that is designed to suppress harmonics produced by wind DG converters. The AHDA filter consists of an inverter of industrial-proven configurations, controlled using a new adaptive noise cancellation (ANC) algorithm and implemented with state-of-the-art digital signal processing technology. The ANC algorithm is based on a novel noise cancellation theory that was originally created for image signal processing but not for power engineering. This paper presents a practical formulation of the ANC algorithm for harmonics elimination at utility-DG interfaces, with significant simplification of the original complex formulation for noise cancellations. Hardware and software implementations of the AHDA filter are detailed. Simulation and experimental results are provided to demonstrate the effectiveness of the AHDA filter.
Keywords
IEEE standards; active filters; adaptive filters; distributed power generation; power system harmonics; signal processing; wind power; IEEE 1547 standard; adaptive active filter; adaptive harmonics detection; adaptive noise cancellation; digital signal processing; distributed generation; harmonics suppression; image signal processing; wind power; Active filters; Adaptive filters; Digital filters; Distributed control; Electrical equipment industry; Industrial control; Inverters; Noise cancellation; Power harmonic filters; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3826-6
Type
conf
Filename
4771178
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