Improved current detection approach to active power filter based on the RLS adaptive algorithm

Ping Li; Xiaohe Liu

doi:10.1117/12.718133

30 October 2006 Improved current detection approach to active power filter based on the RLS adaptive algorithm

Ping Li, Xiaohe Liu

Author Affiliations +

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 63583L (2006) https://doi.org/10.1117/12.718133
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

Harmonic and reactive current as reference template are extracted by active power filter through effective algorithm of detection current. Inverter is controlled and droved to produce compensation currents that trace reference template real-timely in order to purify the power system. Recently, direct current (DC) component that is transformed by active current of fundamental frequency is extracted, using low pass filter (LPF) in prevailing algorithm of detection current. However, the parameters of analog LPF are sensitive to environmental temperature, parameter floating is easy to occur, which is leading up to deviations of compensation. Higher precision needs higher orders, whereas it is difficult to realize higher orders for analog LPF. It is present that analog LPF is replaced by the adaptive algorithm of digital recursive least squares (RLS) scheme in this paper. The result of simulation indicates that it is flexible, stable and response quick for digital RLS adaptive filter to improve compensation ratio of polluted current in power system.

Citation Download Citation

Ping Li, Ping Li, Xiaohe Liu, Xiaohe Liu, "Improved current detection approach to active power filter based on the RLS adaptive algorithm", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63583L (30 October 2006); doi: 10.1117/12.718133; https://doi.org/10.1117/12.718133

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