Title :
Research on Harmonics Suppression and Reactive Power Compensation for Power System
Author :
Wenjin, Dai ; Qingsheng, Lin ; Xiangjie, Chen
Author_Institution :
Sch. of Inf. Eng., Nanchang Univ., Nanchang, China
Abstract :
Analysis and control of power quality by neural network is a new research field in electrical power system. To avoid the deficiencies of current tracking control, this paper presents a new instantaneous current PWM control that based on neural network. Combining wtth ip-iq detecting method that based on instantaneous reactive power theory, a three-phase shunt active power filter (SAPF) for reactive power compensation and harmonic suppression that applied to power system is designed. The performance of SAPF is verified through simulation studies using Matlab. The simulation results show that the SAPF with neural network control has a good performance in harmonics suppression and reactive power compensation.
Keywords :
electric current control; neural nets; power harmonic filters; power system harmonics; reactive power control; Matlab; SAPF; current PWM control; current tracking control; electrical power system reactive power compensation; ip-iq detecting method; neural network; power quality control; power system harmonics suppression; three-phase shunt active power filter; Control system analysis; Control systems; Harmonics suppression; Neural networks; Power harmonic filters; Power system analysis computing; Power system harmonics; Power system simulation; Pulse width modulation; Reactive power; SAPF; compensation; harmonic; neural network; reactive power;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.148
