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
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;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307280
