Implementation of Model Predictive Control for Frequency Support in a Real-time Digital Simulator

Astha Rai, Niranjan Bhujel, Timothy M. Hansen, Reinaldo Tonkoski, Ujjwol Tamrakar

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

Microgrids experience larger frequency deviations compared to bulk power systems for the same disturbance. Energy storage systems (ESSs) can potentially provide fast frequency support in such microgrids to limit frequency deviation within acceptable limits. One of the effective control approaches to achieve fast-frequency support in ESSs is a model predictive control (MPC)-based approach. Traditionally, MPC is known to use higher computational costs compared to other conventional controllers. In this paper, an MPC-based fast-frequency support mechanism is developed for an ESS and implemented on a real-time digital simulator to provide fast-frequency support in a microgrid model based in Cordova, Alaska. Results show that the computation time of MPC for frequency support is shorter than the simulation time step, justifying real-time applicability. The techniques presented in this paper can be generalized to develop novel MPC-based control approaches for ESSs and analyze their performance through real-time digital simulation techniques before deployment.

OriginalspracheEnglisch
Titel2022 IEEE Electrical Energy Storage Application and Technologies Conference, EESAT 2022
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781665479462
DOIs
PublikationsstatusVeröffentlicht - 2022
Extern publiziertJa
Veranstaltung2022 IEEE Electrical Energy Storage Application and Technologies Conference, EESAT 2022 - Austin, USA/Vereinigte Staaten
Dauer: 8 Nov. 20229 Nov. 2022

Publikationsreihe

Name2022 IEEE Electrical Energy Storage Application and Technologies Conference, EESAT 2022

Konferenz

Konferenz2022 IEEE Electrical Energy Storage Application and Technologies Conference, EESAT 2022
Land/GebietUSA/Vereinigte Staaten
OrtAustin
Zeitraum8/11/229/11/22

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