Title :
A continually online trained neurocontroller for the series branch control of the UPFC
Author :
Kalyani, R.P. ; Venayagamoorthy, G.K.
Abstract :
The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller (UPFC) provides an effective means for controlling the power flow and improving the transient stability in a power network. The UPFC has fast complex dynamics and its conventional control is based on a linearized model of the power system. This paper presents the design of a neurocontroller that controls the power flow and regulates voltage along a transmission line. The continually online neurocontroller is used for controlling the series inverter of UPFC. Simulation results carried out in the PSCAD/EMTDC environment are presented to show the successful control of UPFC and the power system.
Keywords :
linearisation techniques; neurocontrollers; power system control; stability; voltage control; PSCAD/EMTDC environment; UPFC; continually online trained neurocontroller; fast complex dynamics; linearized model; load flow control; series branch control; series inverter; transient stability; unified power flow controller; Load flow; Neurocontrollers; PSCAD; Power system control; Power system dynamics; Power system modeling; Power system simulation; Power system stability; Power system transients; Power systems;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1224045
