Predictive optimized adaptive PSS in a single machine infinite bus

Freddy Milla; Manuel A Duarte-Mermoud

doi:10.1016/j.isatra.2016.02.018

Predictive optimized adaptive PSS in a single machine infinite bus

ISA Trans. 2016 Jul:63:315-327. doi: 10.1016/j.isatra.2016.02.018. Epub 2016 Mar 24.

Authors

Freddy Milla¹, Manuel A Duarte-Mermoud²

Affiliations

¹ Department of Electrical Engineering, University of Chile, Av. Tupper 2007, Santiago de Chile, Chile; Advanced Mining Technology Center, Av. Tupper 2007, Santiago de Chile, Chile. Electronic address: fmilla@ing.uchile.cl.
² Department of Electrical Engineering, University of Chile, Av. Tupper 2007, Santiago de Chile, Chile; Advanced Mining Technology Center, Av. Tupper 2007, Santiago de Chile, Chile. Electronic address: mduartem@tamarugo.cec.uchile.cl.

PMID: 27017306
DOI: 10.1016/j.isatra.2016.02.018

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.

Keywords: Electric power system; MPC; PSO; PSS; Predictive Optimized Adaptive PSS; SMIB.