Decentralized power system stabilizer design using linear parameter varying approach

Wenzheng Qiu, Vijay Vittal, Mustafa Khammash

Research output: Contribution to journalArticle

71 Scopus citations

Abstract

In this paper, the power system model is formulated as a finite dimensional linear system whose state-space entries depend continuously on a time varying parameter vector called the scheduling variables. This system is referred to as the linear parameter varying (LPV) system. Although the trajectory of the changing parameters such as load levels and tie line flows is not known in advance, in most situations, they can be measured in real time. The LPV technique is applied to the decentralized design of power system stabilizers (PSS) for large systems. In the approach developed, instead of considering the complete system model with all the interconnections, we develop a decentralized approach where each individual machine is considered separately with arbitrarily changing real and reactive power output in a defined range. These variables are chosen as the scheduling variables. The designed controller automatically adjusts its parameters depending on the scheduling variables to coordinate with change of operating conditions and the dynamics of the rest of the system. The resulting decentralized PSSs give good performance in a large operating range. Design procedures are presented and comparisons are made between the LPV decentralized PSSs and conventionally designed PSSs on the 50-generator IEEE test system.

Original languageEnglish (US)
Pages (from-to)1951-1960
Number of pages10
JournalIEEE Transactions on Power Systems
Volume19
Issue number4
DOIs
StatePublished - Nov 1 2004
Externally publishedYes

Keywords

  • Decentralized control
  • Gain scheduling
  • LPV
  • Oscillation damping
  • Power system stabilizer

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Decentralized power system stabilizer design using linear parameter varying approach'. Together they form a unique fingerprint.

  • Cite this