Hybrid system based nonlinear least squares optimization applied to a multi-machine power system control

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1 Citation (Scopus)

Abstract

The output limits of the power system stabilizer (PSS) can improve the system damping performance immediately following a large disturbance. Due to non-smooth nonlinearities from the saturation limits, these values cannot be determined by the conventional tuning methods based on linear analysis. Only ad hoc tuning procedures have been used. A nonlinear least squares method, which is the Gauss-Newton optimization algorithm, is used in this paper. The gradient required in the Gauss-Newton method can be computed by applying trajectory sensitivities from the hybrid system model with the differential-algebraic- impulsive-switched (DAIS) structure. The optimal output limits of the PSS tuned by the proposed method are evaluated by time-domain simulation in a multi-machine power system (MMPS).

Original languageEnglish
Pages (from-to)3199-3206
Number of pages8
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE89-A
Issue number11
DOIs
Publication statusPublished - 2006 Jan 1

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Nonlinear Least Squares
Hybrid systems
Hybrid Systems
Power System
Power System Stabilizer
Tuning
Control systems
Optimization
Newton-Raphson method
Gauss-Newton Method
Gauss-Newton
Damping
Output
Trajectories
Least Square Method
Immediately
Saturation
Time Domain
Optimization Algorithm
Disturbance

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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