Optimal tuning of nonlinear parameters of a dual-input power system stabilizer based on analysis of trajectory sensitivities

Seung Mook Baek, Jung Wook Park

Research output: Contribution to journalArticle

Abstract

This paper focuses on optimal tuning of nonlinear parameters of a dual-input power system stabilizer (dual-input PSS), which can improve the system damping performance immediately following a large disturbance. Until recently, various PSS models have developed to bring stability and reliability to power systems, and some of these models are used in industry applications. However, due to non-smooth nonlinearities from the interaction between linear parameters (gains and time constants of linear controllers) and nonlinear parameters (saturation output limits), the output limit parameters cannot be determined by the conventional tuning methods based on linear analysis. Only ad hoc tuning procedures ('trial and error' approach) have been used. Therefore, the steepest descent method is applied to implement the optimal tuning of the nonlinear parameters of the dual-input PSS. The gradient required in this optimization technique can be computed from trajectory sensitivities in hybrid system modeling with the differential-algebraic -impulsive-switched (DAIS) structure. The optimal output limits of the dual-input PSS are evaluated by time-domain simulation in both a single machine infinite bus (SMIB) system and a multi-machine power system in comparison with those of a sinale-input PSS.

Original languageEnglish
Pages (from-to)915-923
Number of pages9
JournalTransactions of the Korean Institute of Electrical Engineers
Volume57
Issue number6
Publication statusPublished - 2008 Jun 1

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Tuning
Trajectories
Steepest descent method
Hybrid systems
Damping
Controllers
Industry

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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abstract = "This paper focuses on optimal tuning of nonlinear parameters of a dual-input power system stabilizer (dual-input PSS), which can improve the system damping performance immediately following a large disturbance. Until recently, various PSS models have developed to bring stability and reliability to power systems, and some of these models are used in industry applications. However, due to non-smooth nonlinearities from the interaction between linear parameters (gains and time constants of linear controllers) and nonlinear parameters (saturation output limits), the output limit parameters cannot be determined by the conventional tuning methods based on linear analysis. Only ad hoc tuning procedures ('trial and error' approach) have been used. Therefore, the steepest descent method is applied to implement the optimal tuning of the nonlinear parameters of the dual-input PSS. The gradient required in this optimization technique can be computed from trajectory sensitivities in hybrid system modeling with the differential-algebraic -impulsive-switched (DAIS) structure. The optimal output limits of the dual-input PSS are evaluated by time-domain simulation in both a single machine infinite bus (SMIB) system and a multi-machine power system in comparison with those of a sinale-input PSS.",
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