Determining the Reaction Time for Triggering Supportive Control Actions to Guarantee Adequate Frequency Response in Smart Grids

Jiecai Luo; Seddik M. Djouadi; Mohammed M. Olama; Yichen Zhang

doi:10.22360/SpringSim.2020.MSSES.003

Determining the Reaction Time for Triggering Supportive Control Actions to Guarantee Adequate Frequency Response in Smart Grids

Jiecai Luo, Seddik M. Djouadi, Mohammed M. Olama, Yichen Zhang

Computational Systems Engineering and Cy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The progressive integration of renewable energy resources in the modern power grid can result in unsatisfactory frequency responses. To address this problem, wind turbine generators (WTGs), in particular, can be employed to support the power grid. Most works, however, only consider a simple step disturbance. In this paper, a new class of worst-case disturbances is introduced and their nefarious impact on renewable-penetrated power systems is investigated. The worst-case disturbances are derived using optimal control theory. More importantly, the proposed mechanism allows to determine the reaction time to trigger supportive control actions of WTGs to ensure satisfactory frequency response. Numerical results are provided and the effects of the worst-case disturbance on the reaction time are presented.

Original language	English
Title of host publication	Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020
Editors	Fernando J. Barros, Xiaolin Hu, Hamdi Kavak, Alberto A. Del Barrio
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781565553705
DOIs	https://doi.org/10.22360/SpringSim.2020.MSSES.003
State	Published - May 2020
Event	2020 Spring Simulation Conference, SpringSim 2020 - Virtual, Fairfax, United States Duration: May 18 2020 → May 21 2020

Publication series

Name	Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020

Conference

Conference	2020 Spring Simulation Conference, SpringSim 2020
Country/Territory	United States
City	Virtual, Fairfax
Period	05/18/20 → 05/21/20

Funding

Research sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL), managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. In addition, this research has been supported in part by NSF-EPCN award # 1711432, and a Joint Directed Research and Development (JDRD) Program award. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Funders	Funder number
Joint Directed Research and Development
NSF-EPCN	1711432
U.S. Department of Energy	DE-AC05-00OR22725
Oak Ridge National Laboratory
UT-Battelle

Keywords

optimal control
power system frequency control
reaction time
smart grids
wind turbine generators

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.22360/SpringSim.2020.MSSES.003

Cite this

Luo, J., Djouadi, S. M., Olama, M. M., & Zhang, Y. (2020). Determining the Reaction Time for Triggering Supportive Control Actions to Guarantee Adequate Frequency Response in Smart Grids. In F. J. Barros, X. Hu, H. Kavak, & A. A. Del Barrio (Eds.), Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020 Article 9185432 (Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.22360/SpringSim.2020.MSSES.003

Luo, Jiecai ; Djouadi, Seddik M. ; Olama, Mohammed M. et al. / Determining the Reaction Time for Triggering Supportive Control Actions to Guarantee Adequate Frequency Response in Smart Grids. Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020. editor / Fernando J. Barros ; Xiaolin Hu ; Hamdi Kavak ; Alberto A. Del Barrio. Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020).

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title = "Determining the Reaction Time for Triggering Supportive Control Actions to Guarantee Adequate Frequency Response in Smart Grids",

abstract = "The progressive integration of renewable energy resources in the modern power grid can result in unsatisfactory frequency responses. To address this problem, wind turbine generators (WTGs), in particular, can be employed to support the power grid. Most works, however, only consider a simple step disturbance. In this paper, a new class of worst-case disturbances is introduced and their nefarious impact on renewable-penetrated power systems is investigated. The worst-case disturbances are derived using optimal control theory. More importantly, the proposed mechanism allows to determine the reaction time to trigger supportive control actions of WTGs to ensure satisfactory frequency response. Numerical results are provided and the effects of the worst-case disturbance on the reaction time are presented.",

keywords = "optimal control, power system frequency control, reaction time, smart grids, wind turbine generators",

author = "Jiecai Luo and Djouadi, {Seddik M.} and Olama, {Mohammed M.} and Yichen Zhang",

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year = "2020",

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Luo, J, Djouadi, SM, Olama, MM & Zhang, Y 2020, Determining the Reaction Time for Triggering Supportive Control Actions to Guarantee Adequate Frequency Response in Smart Grids. in FJ Barros, X Hu, H Kavak & AA Del Barrio (eds), Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020., 9185432, Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020, Institute of Electrical and Electronics Engineers Inc., 2020 Spring Simulation Conference, SpringSim 2020, Virtual, Fairfax, United States, 05/18/20. https://doi.org/10.22360/SpringSim.2020.MSSES.003

Determining the Reaction Time for Triggering Supportive Control Actions to Guarantee Adequate Frequency Response in Smart Grids. / Luo, Jiecai; Djouadi, Seddik M.; Olama, Mohammed M. et al.
Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020. ed. / Fernando J. Barros; Xiaolin Hu; Hamdi Kavak; Alberto A. Del Barrio. Institute of Electrical and Electronics Engineers Inc., 2020. 9185432 (Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Luo, Jiecai

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PY - 2020/5

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N2 - The progressive integration of renewable energy resources in the modern power grid can result in unsatisfactory frequency responses. To address this problem, wind turbine generators (WTGs), in particular, can be employed to support the power grid. Most works, however, only consider a simple step disturbance. In this paper, a new class of worst-case disturbances is introduced and their nefarious impact on renewable-penetrated power systems is investigated. The worst-case disturbances are derived using optimal control theory. More importantly, the proposed mechanism allows to determine the reaction time to trigger supportive control actions of WTGs to ensure satisfactory frequency response. Numerical results are provided and the effects of the worst-case disturbance on the reaction time are presented.

AB - The progressive integration of renewable energy resources in the modern power grid can result in unsatisfactory frequency responses. To address this problem, wind turbine generators (WTGs), in particular, can be employed to support the power grid. Most works, however, only consider a simple step disturbance. In this paper, a new class of worst-case disturbances is introduced and their nefarious impact on renewable-penetrated power systems is investigated. The worst-case disturbances are derived using optimal control theory. More importantly, the proposed mechanism allows to determine the reaction time to trigger supportive control actions of WTGs to ensure satisfactory frequency response. Numerical results are provided and the effects of the worst-case disturbance on the reaction time are presented.

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Luo J, Djouadi SM, Olama MM, Zhang Y. Determining the Reaction Time for Triggering Supportive Control Actions to Guarantee Adequate Frequency Response in Smart Grids. In Barros FJ, Hu X, Kavak H, Del Barrio AA, editors, Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9185432. (Proceedings of the 2020 Spring Simulation Conference, SpringSim 2020). doi: 10.22360/SpringSim.2020.MSSES.003

Determining the Reaction Time for Triggering Supportive Control Actions to Guarantee Adequate Frequency Response in Smart Grids

Abstract

Publication series

Conference

Funding

Keywords

UN SDGs

Access to Document

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