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
Link To Document :
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