Application of programmed trajectory motion control for the grids containing distributed generation

A. V. Prokhorov, N. A. Belyaev, Yu V. Khrushchev, A. S. Vasiliev, Li Wang

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

1 Citation (Scopus)

Abstract

The paper proposes a method of programmed trajectory motion control (PTMC) for power system dynamics. The proposed method ensures the required response of a controlled system to external disturbances and thus reduces the time of achievement of the control goal. When applied to a synchronous machine, PTMC allows coordinated control of rotor angle, cycling frequency and acceleration and their simultaneous driving to the target values. Place of PTMC in control systems hierarchy and in relation to model predictive control is discussed. The programmed trajectory motion method is intended for control of power system transient dynamics that cannot be handled by model predictive control or for the cases when optimality of the control process is predominated by the speed requirements and when the control should be rather rational than optimal. Capabilities of the proposed method are studied based on the task of distributed generation synchronization with the main grid. It is showed that PTMC makes possible to meet high requirements to synchronization conditions in isolated grids even in case of disturbances.

Original languageEnglish
Title of host publication2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
PublisherIEEE Computer Society
Pages990-995
Number of pages6
ISBN (Electronic)9781509043033
DOIs
Publication statusPublished - 22 Dec 2016
Event2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 - Melbourne, Australia
Duration: 28 Nov 20161 Dec 2016

Conference

Conference2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
CountryAustralia
CityMelbourne
Period28.11.161.12.16

Fingerprint

Distributed power generation
Motion control
Trajectories
Model predictive control
Synchronization
Dynamical systems
Rotors
Control systems

Keywords

  • distributed generation
  • dynamics
  • model predictive control
  • Synchronization
  • trajectory
  • transients

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Prokhorov, A. V., Belyaev, N. A., Khrushchev, Y. V., Vasiliev, A. S., & Wang, L. (2016). Application of programmed trajectory motion control for the grids containing distributed generation. In 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 (pp. 990-995). [7796520] IEEE Computer Society. https://doi.org/10.1109/ISGT-Asia.2016.7796520

Application of programmed trajectory motion control for the grids containing distributed generation. / Prokhorov, A. V.; Belyaev, N. A.; Khrushchev, Yu V.; Vasiliev, A. S.; Wang, Li.

2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016. IEEE Computer Society, 2016. p. 990-995 7796520.

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

Prokhorov, AV, Belyaev, NA, Khrushchev, YV, Vasiliev, AS & Wang, L 2016, Application of programmed trajectory motion control for the grids containing distributed generation. in 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016., 7796520, IEEE Computer Society, pp. 990-995, 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016, Melbourne, Australia, 28.11.16. https://doi.org/10.1109/ISGT-Asia.2016.7796520
Prokhorov AV, Belyaev NA, Khrushchev YV, Vasiliev AS, Wang L. Application of programmed trajectory motion control for the grids containing distributed generation. In 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016. IEEE Computer Society. 2016. p. 990-995. 7796520 https://doi.org/10.1109/ISGT-Asia.2016.7796520
Prokhorov, A. V. ; Belyaev, N. A. ; Khrushchev, Yu V. ; Vasiliev, A. S. ; Wang, Li. / Application of programmed trajectory motion control for the grids containing distributed generation. 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016. IEEE Computer Society, 2016. pp. 990-995
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