DocumentCode
2938316
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
Volume
2
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
110
Lastpage
112
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3859-4
Type
conf
DOI
10.1109/IITA.2009.148
Filename
5370631
Link To Document