An Approach to Robust Synchronization of Electric Power Generators

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

Abstract

We consider the problem of synchronizing two electric power generators, one of which (the leader) is serving a time-varying load, so that they can ultimately be connected to form a single power system. Both generators are described by second-order reduced state-space models, and we assume that the generator not serving any load initially (the follower) has access to measurements of the leader generator phase angle corrupted by some additive disturbances. By using these measurements, and leveraging results on reduced-order observers with ISS-type robustness, we propose a procedure that drives (i) the angular velocity of the follower close enough to that of the leader, and (ii) the phase angle of the follower close enough to that of the point at which both systems will be electrically connected. An explicit bound on the synchronization error in terms of the measurement disturbance and the variations in the electrical load served by the leader is computed. We illustrate the procedure via numerical simulations.

Original languageEnglish (US)
Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1586-1591
Number of pages6
ISBN (Electronic)9781538613955
DOIs
StatePublished - Jan 18 2019
Event57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States
Duration: Dec 17 2018Dec 19 2018

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2018-December
ISSN (Print)0743-1546

Conference

Conference57th IEEE Conference on Decision and Control, CDC 2018
CountryUnited States
CityMiami
Period12/17/1812/19/18

Fingerprint

Synchronization
Generator
Disturbance
Angular velocity
Angle
Explicit Bounds
Reduced Model
State-space Model
Power System
Observer
Time-varying
Computer simulation
Robustness
Numerical Simulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Cite this

Ajala, O., Dominguez-Garcia, A., & Liberzon, D. M. (2019). An Approach to Robust Synchronization of Electric Power Generators. In 2018 IEEE Conference on Decision and Control, CDC 2018 (pp. 1586-1591). [8618905] (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2018.8618905

An Approach to Robust Synchronization of Electric Power Generators. / Ajala, Olaoluwapo; Dominguez-Garcia, Alejandro; Liberzon, Daniel M.

2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1586-1591 8618905 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December).

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

Ajala, O, Dominguez-Garcia, A & Liberzon, DM 2019, An Approach to Robust Synchronization of Electric Power Generators. in 2018 IEEE Conference on Decision and Control, CDC 2018., 8618905, Proceedings of the IEEE Conference on Decision and Control, vol. 2018-December, Institute of Electrical and Electronics Engineers Inc., pp. 1586-1591, 57th IEEE Conference on Decision and Control, CDC 2018, Miami, United States, 12/17/18. https://doi.org/10.1109/CDC.2018.8618905
Ajala O, Dominguez-Garcia A, Liberzon DM. An Approach to Robust Synchronization of Electric Power Generators. In 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1586-1591. 8618905. (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2018.8618905
Ajala, Olaoluwapo ; Dominguez-Garcia, Alejandro ; Liberzon, Daniel M. / An Approach to Robust Synchronization of Electric Power Generators. 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1586-1591 (Proceedings of the IEEE Conference on Decision and Control).
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