A dynamic state estimator for the development of a control signal for power system damping enhancement

I. L.Ortega Rivera, C. R.Fuerte Esquivel, C. Angeles Camacho, G. T. Heydt, Vijay Vittal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Small signal stability enhancement in power systems is often accomplished using supplementary controls. The usual technique is to utilize a power system stabilizer to generate a control signal that is applied to the excitation of a large synchronous generator. In this paper, a different approach is taken: A control signal is obtained using estimated signals from a 'dynamic state estimator', and the supplementary control is implemented using a static VAr compensator in the transmission circuit adjacent to a synchronous generator. The details of the design of the dynamic state estimator are given. A simple example is used to illustrate the concept. The paper is intended to show feasibility of a dynamic state estimator to provide a control signal for damping enhancement.

Original languageEnglish (US)
Title of host publication2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538628904
DOIs
StatePublished - Oct 26 2017
Event2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 - Washington, United States
Duration: Apr 23 2017Apr 26 2017

Publication series

Name2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017

Other

Other2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
Country/TerritoryUnited States
CityWashington
Period4/23/174/26/17

Keywords

  • Damping
  • Dynamic state estimator
  • Kalman filter
  • Power system control
  • Stability
  • State estimation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

Fingerprint

Dive into the research topics of 'A dynamic state estimator for the development of a control signal for power system damping enhancement'. Together they form a unique fingerprint.

Cite this