Title :
An Improved Adaptive Detection Method for Power Quality Improvement
Author :
Qian, Lewei ; Cartes, David ; Li, Hui
Author_Institution :
Center for Adv. Power Syst., Florida State Univ., Tallahassee, FL
Abstract :
A new adaptive detection method for harmonic selective active filter applications is proposed in this paper. This adaptive method has better convergence properties compared to common adaptive or neural network detection methods. The adaptive gains of this method can be relatively large to obtain faster convergence. The stability of the proposed method is guaranteed and its property is analyzed when compared to earlier methods. This proposed adaptive method is simple and effective in extracting fundamental and harmonic current information from load current. The extracted fundamental or harmonic currents are used as the reference signals for the power quality improvement, harmonic selective cancellation or reactive power compensation. Simulation results verify the effectiveness of this new adaptive method
Keywords :
power harmonic filters; reactive power control; active filter; adaptive detection; harmonic current information; harmonic selective cancellation; integral cost function; load current; neural network detection; power quality improvement; reactive power compensation; Active filters; Adaptive systems; Convergence; Data mining; Neural networks; Power harmonic filters; Power quality; Power system harmonics; Reactive power; Stability analysis; Active Filter; Adaptive Detection; Harmonic Selective Cancellation; Integral Cost Function; Reactive Power Compensation;
Conference_Titel :
Industry Applications Conference, 2006. 41st IAS Annual Meeting. Conference Record of the 2006 IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-0364-2
Electronic_ISBN :
0197-2618
DOI :
10.1109/IAS.2006.256656