Predictive optimized adaptive PSS in a single machine infinite bus
Author
dc.contributor.author
Milla Nanjarí, Freddy
Author
dc.contributor.author
Duarte Mermoud, Manuel
Admission date
dc.date.accessioned
2016-12-27T20:16:14Z
Available date
dc.date.available
2016-12-27T20:16:14Z
Publication date
dc.date.issued
2016
Cita de ítem
dc.identifier.citation
ISA Transactions 63 (2016) 315–327
es_ES
Identifier
dc.identifier.other
10.1016/j.isatra.2016.02.018
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/142144
Abstract
dc.description.abstract
Power System Stabilizer (PSS) devices are responsible for providing a damping torque component to generators for reducing fluctuations in the system caused by small perturbations. A Predictive Optimized Adaptive PSS (POA-PSS) to improve the oscillations in a Single Machine Infinite Bus (SMIB) power system is discussed in this paper. POA-PSS provides the optimal design parameters for the classic PSS using an optimization predictive algorithm, which adapts to changes in the inputs of the system. This approach is part of small signal stability analysis, which uses equations in an incremental form around an operating point. Simulation studies on the SMIB power system illustrate that the proposed POA-PSS approach has better performance than the classical PSS. In addition, the effort in the control action of the POA-PSS is much less than that of other approaches considered for comparison.
es_ES
Patrocinador
dc.description.sponsorship
CONICYT-Chile, under the Basal Financing Program "Advanced Mining Technology Center"
FB0809
FONDECYT
3140604