Title :
Model predictive control for improving small signal stability of a UPFC equipped SMIB system
Author :
Koul, Sunina ; Tiwari, Sheela
Abstract :
This paper investigates the effectiveness of Model Predictive Controller and its ability to damp out the low frequency oscillations and improve the small signal stability of single machine infinite bus system. The damping functions of the UPFC with various alternative control signals are investigated on the basis of linearized Heffron Phillips model of SMIB equipped with UPFC. The performance of model predictive controller has been compared to that of a controller based on phase compensation technique and is found to be superior as it uses the optimized control inputs to bring stability to the plant. The performance effectiveness of various control signals is evaluated and the best way of controlling the UPFC is proposed.
Keywords :
load flow control; optimal control; oscillations; power system control; power system stability; predictive control; Heffron Phillips model; SMIB system; UPFC; alternative control signal; frequency oscillation; model predictive controller; phase compensation technique; single machine infinite bus system; small signal stability improvement; unified power flow controller; Control systems; Damping; Load modeling; Mathematical model; Power system stability; Predictive models; Voltage control; FACTS; model predictive controller; small signal stability and UPFC;
Conference_Titel :
Engineering (NUiCONE), 2011 Nirma University International Conference on
Conference_Location :
Ahmedabad, Gujarat
Print_ISBN :
978-1-4577-2169-4
DOI :
10.1109/NUiConE.2011.6153280
