Title :
Single-Phase Shunt Hybrid Active Power Filter Based on ANN
Author :
Dai, Wenjin ; Huang, Taiyang ; Lin, Na
Author_Institution :
Nanchang Univ., Nanchang
Abstract :
In this paper, a single-phase shunt hybrid active power filter (APF) is presented to compensate reactive power and eliminate harmonics in power system. The hybrid active filter consists of one active filter and one passive filter connected in series. By controlling the equivalent output voltage of active filter, the harmonic currents generated by the nonlinear load are blocked and flowed into the passive filter. Sensing load current, dc bus voltage, dc bus reference voltage and source voltage compute reference voltage of APF through modified adaptive artificial neural network (ANN). And a voltage controller is used to generate the firing pulses of the voltage source inverter. The proposed system is implemented using Digital Signal Processor (DSP). Simulating results are presented to confirm the validity of the scheme.
Keywords :
active filters; neural nets; power filters; reactive power; voltage control; voltage regulators; adaptive artificial neural network; digital signal processor; harmonics elimination; hybrid active filter; passive filter; power system; reactive power compensation; single-phase shunt hybrid active power filter; source voltage; voltage controller; voltage source inverter; Active filters; Adaptive systems; Artificial neural networks; Computer networks; Hybrid power systems; Passive filters; Power harmonic filters; Power system harmonics; Reactive power; Voltage control;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.517