Control parameterization for power oscillation damping via software-in-the-loop simulation

Ha Thi Nguyen, Guangya Yang, Arne Hejde Nielsen, Peter Højgaard Jensen, Carlos F. Coimbra

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

The parameter optimization of designed controllers for power systems is always a big concern and needs a lot of effort of researchers especially when the electricity grid becomes larger and more complex. The paper proposes a control parameterization using genetic algorithms (GA) for power oscillation damping (POD) incorporating in synchronous condensers via softwarein-the-loop simulation to enhance the damping and frequency stability for low inertia systems. A closed-loop interfaced setup among real-time digital simulator (RTDS), Matlab, and OLE for Process Communication (OPC) running in real time is analyzed and implemented to optimize the POD parameters of a synchronous condenser. Furthermore, a Prony technique based on the system measurement is applied to find out the frequency and damping ratio of the dominant oscillation mode. The POD optimal parameters are determined by the GA objective function that maximizes the damping ratio of the dominant oscillation mode. The effectiveness of the proposed method in damping power oscillations and frequency stability improvement is verified through simulation results of the future Western Danish power system. Simulation results demonstrate that the proposed approach offers a good performance for parameter optimization of the POD.
Original languageEnglish
Title of host publicationProceedings of 7th International Conference on Renewable Power Generation.
Number of pages5
PublisherInstitution of Engineering and Technology
Publication date2018
Publication statusPublished - 2018
Event7th International Conference on Renewable Power Generation - DTU, Lyngby, Copenhagen, Denmark
Duration: 26 Sep 201827 Sep 2018

Conference

Conference7th International Conference on Renewable Power Generation
LocationDTU, Lyngby
CountryDenmark
CityCopenhagen
Period26/09/201827/09/2018

Keywords

  • Frequency stability
  • Genetic algorithms
  • Parameter optimization
  • Power oscillation damping
  • Software-in-the-loop simulation

Cite this

Nguyen, H. T., Yang, G., Nielsen, A. H., Jensen, P. H., & Coimbra, C. F. (2018). Control parameterization for power oscillation damping via software-in-the-loop simulation. In Proceedings of 7th International Conference on Renewable Power Generation. Institution of Engineering and Technology.
Nguyen, Ha Thi ; Yang, Guangya ; Nielsen, Arne Hejde ; Jensen, Peter Højgaard ; Coimbra, Carlos F. / Control parameterization for power oscillation damping via software-in-the-loop simulation. Proceedings of 7th International Conference on Renewable Power Generation.. Institution of Engineering and Technology, 2018.
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title = "Control parameterization for power oscillation damping via software-in-the-loop simulation",
abstract = "The parameter optimization of designed controllers for power systems is always a big concern and needs a lot of effort of researchers especially when the electricity grid becomes larger and more complex. The paper proposes a control parameterization using genetic algorithms (GA) for power oscillation damping (POD) incorporating in synchronous condensers via softwarein-the-loop simulation to enhance the damping and frequency stability for low inertia systems. A closed-loop interfaced setup among real-time digital simulator (RTDS), Matlab, and OLE for Process Communication (OPC) running in real time is analyzed and implemented to optimize the POD parameters of a synchronous condenser. Furthermore, a Prony technique based on the system measurement is applied to find out the frequency and damping ratio of the dominant oscillation mode. The POD optimal parameters are determined by the GA objective function that maximizes the damping ratio of the dominant oscillation mode. The effectiveness of the proposed method in damping power oscillations and frequency stability improvement is verified through simulation results of the future Western Danish power system. Simulation results demonstrate that the proposed approach offers a good performance for parameter optimization of the POD.",
keywords = "Frequency stability, Genetic algorithms, Parameter optimization, Power oscillation damping, Software-in-the-loop simulation",
author = "Nguyen, {Ha Thi} and Guangya Yang and Nielsen, {Arne Hejde} and Jensen, {Peter H{\o}jgaard} and Coimbra, {Carlos F.}",
year = "2018",
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booktitle = "Proceedings of 7th International Conference on Renewable Power Generation.",
publisher = "Institution of Engineering and Technology",

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Nguyen, HT, Yang, G, Nielsen, AH, Jensen, PH & Coimbra, CF 2018, Control parameterization for power oscillation damping via software-in-the-loop simulation. in Proceedings of 7th International Conference on Renewable Power Generation.. Institution of Engineering and Technology, 7th International Conference on Renewable Power Generation, Copenhagen, Denmark, 26/09/2018.

Control parameterization for power oscillation damping via software-in-the-loop simulation. / Nguyen, Ha Thi; Yang, Guangya; Nielsen, Arne Hejde; Jensen, Peter Højgaard ; Coimbra, Carlos F.

Proceedings of 7th International Conference on Renewable Power Generation.. Institution of Engineering and Technology, 2018.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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AU - Yang, Guangya

AU - Nielsen, Arne Hejde

AU - Jensen, Peter Højgaard

AU - Coimbra, Carlos F.

PY - 2018

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N2 - The parameter optimization of designed controllers for power systems is always a big concern and needs a lot of effort of researchers especially when the electricity grid becomes larger and more complex. The paper proposes a control parameterization using genetic algorithms (GA) for power oscillation damping (POD) incorporating in synchronous condensers via softwarein-the-loop simulation to enhance the damping and frequency stability for low inertia systems. A closed-loop interfaced setup among real-time digital simulator (RTDS), Matlab, and OLE for Process Communication (OPC) running in real time is analyzed and implemented to optimize the POD parameters of a synchronous condenser. Furthermore, a Prony technique based on the system measurement is applied to find out the frequency and damping ratio of the dominant oscillation mode. The POD optimal parameters are determined by the GA objective function that maximizes the damping ratio of the dominant oscillation mode. The effectiveness of the proposed method in damping power oscillations and frequency stability improvement is verified through simulation results of the future Western Danish power system. Simulation results demonstrate that the proposed approach offers a good performance for parameter optimization of the POD.

AB - The parameter optimization of designed controllers for power systems is always a big concern and needs a lot of effort of researchers especially when the electricity grid becomes larger and more complex. The paper proposes a control parameterization using genetic algorithms (GA) for power oscillation damping (POD) incorporating in synchronous condensers via softwarein-the-loop simulation to enhance the damping and frequency stability for low inertia systems. A closed-loop interfaced setup among real-time digital simulator (RTDS), Matlab, and OLE for Process Communication (OPC) running in real time is analyzed and implemented to optimize the POD parameters of a synchronous condenser. Furthermore, a Prony technique based on the system measurement is applied to find out the frequency and damping ratio of the dominant oscillation mode. The POD optimal parameters are determined by the GA objective function that maximizes the damping ratio of the dominant oscillation mode. The effectiveness of the proposed method in damping power oscillations and frequency stability improvement is verified through simulation results of the future Western Danish power system. Simulation results demonstrate that the proposed approach offers a good performance for parameter optimization of the POD.

KW - Frequency stability

KW - Genetic algorithms

KW - Parameter optimization

KW - Power oscillation damping

KW - Software-in-the-loop simulation

M3 - Article in proceedings

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Nguyen HT, Yang G, Nielsen AH, Jensen PH, Coimbra CF. Control parameterization for power oscillation damping via software-in-the-loop simulation. In Proceedings of 7th International Conference on Renewable Power Generation.. Institution of Engineering and Technology. 2018