An adaptive power system stabilizer based on the self-optimizing pole shifting control strategy

Experimental Studies of a Generalized Neuron Based Adaptive Power System Stabilizer

“…Most work done on adaptive PSS design uses self-tuning adaptive control approach as it is a very effective adaptive control scheme (Pierre 1987;Shi-jie et al 1986a;Chen et al 1993). The structure of a self-tuning adaptive controller has two parts: an on-line plant model predictor and a controller.…”

“…Parameters of an adaptive stabilizer are adjusted on-line according to the operating conditions. Many years of intensive studies have shown that the adaptive stabilizer can provide good damping over a wide operating range (Pierre 1987;Shi-jie et al 1986a,b;Chen et al 1993;Segal et al 2000;Hosseinzadeh and Kalam 1999;Zhang et al 1993) and can also work in coordination with CPSSs (Chaturvedi et al 2004a;Swidenbank et al 1999).…”

Self-tuning flexible ac transmission system controllers for power oscillation damping: a case study in real time

“…This allows similar closed loop damping ratios to be achieved using a smaller pole-shifting factor than with VFF-RLS. Moreover, the need for adaptive self-searching [3,10] algorithms, which involves iterative computation, is avoided.…”

“…A self-optimising PS algorithm [4,10] could be computationally expensive for real-time implementation as it involves solution of an iterative optimisation in each step. Hence, the focus in this paper is on achieving accuracy and speed of convergence of estimated parameters such that a fixed pole-shifting factor is adequate to ensure satisfactory performance.…”

An Adaptive Evolutionary Algorithm Combining Evolution Strategy and Genetic Algorithm (Application of Fuzzy Power System Stabilizer)

“…But these approaches are difficult to obtain a good control performance in case of operating conditions such as change of load or three phase fault, etc. Therefore, several methods based on adaptive control theory (Chen et al, 1993;Park & Kim, 1996) have been proposed to give an adaptive capability to PSS for nonlinear characteristic of power system. These methods can improve the dynamic characteristic of power system, but these approaches cannot be applied for the real time control because of long execution time.…”