DocumentCode
3391544
Title
A Study on Power Flow Control with UPCF Based on PID Neural Network
Author
Qi Lei ; Xi Zi-qiang ; Fu Zhongjia ; Guo Lei
Author_Institution
Dept. of Electr. Power Eng., Wuhan Electr. Power Tech. Coll., Wuhan, China
fYear
2012
fDate
27-29 March 2012
Firstpage
1
Lastpage
4
Abstract
In this article, the mathematics model of UPFC is obtained and the control method of PID neural network is applied to power flow control with UPCF, which design method of neural network controller is also proposed. Simulation results show that the UPFC with PID neural network control has a better time-response, change-traceability of active power and reactive power, and good robustness.
Keywords
load flow control; neurocontrollers; reactive power control; three-term control; PID neural network controller; UPCF; active power; change-traceability; power flow control; reactive power; time-response; Biological neural networks; Load flow control; Mathematical model; Power system stability; Reactive power;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location
Shanghai
ISSN
2157-4839
Print_ISBN
978-1-4577-0545-8
Type
conf
DOI
10.1109/APPEEC.2012.6307280
Filename
6307280
Link To Document