Title :
Neuroidentification of system parameters of the UPFC in a multimachine power system
Author :
Kalyani, Radha P. ; Venayagamoorthy, Ganesh K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Rolla, MO, USA
Abstract :
The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller is an effective means for controlling the power flow. The UPFC is controlled conventionally using PI controllers. This paper presents the designs of neuroidentifiers that models the system dynamics one-time step ahead making the pathway for the design of adaptive neurocontrollers. Two neuroidentifiers are used for identifying the nonlinear dynamics of a multimachine power system and UPFC, one neuroidentifier for the shunt inverter and another for the series inverter. Simulation results carried out in the PSCAD/EMTDC environments on multimachine power system are presented to show the successful neuroidentification of system dynamics.
Keywords :
PI control; adaptive control; control system synthesis; invertors; load flow control; neurocontrollers; parameter estimation; power system control; PI controllers; adaptive neurocontrollers design; control system synthesis; load flow control; multimachine power system; neuroidentification; neuroidentifiers; nonlinear dynamics; parameter identification; power system CAD; series inverter; shunt inverter; system dynamics; system parameters; unified power flow controller; Inverters; Load flow; Load flow control; Nonlinear dynamical systems; PSCAD; Power system control; Power system dynamics; Power system modeling; Power system simulation; Power systems;
Conference_Titel :
Intelligent Sensing and Information Processing, 2004. Proceedings of International Conference on
Print_ISBN :
0-7803-8243-9
DOI :
10.1109/ICISIP.2004.1287660
