MVMO-based tuning of Active Power Gradient Control of VSC-HVDC links for Frequency Support

Jose L.Rueda Torres; Arcadio Perilla; Elyas Rakhshani; Peter Palensky; Mart A.A.M. Van Der Meijden; Alex Alefragkis

doi:10.1109/SGRE46976.2019.9020696

MVMO-based tuning of Active Power Gradient Control of VSC-HVDC links for Frequency Support

Jose L.Rueda Torres, Arcadio Perilla, Elyas Rakhshani, Peter Palensky, Mart A.A.M. Van Der Meijden, Alex Alefragkis

Intelligent Electrical Power Grids

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

55 Downloads (Pure)

Abstract

The active power gradient (APG) control of MMC-HVDC links can contribute to frequency support in AC networks affected by severe active power imbalances. This functionality is particularly convenient if the coupled AC systems (through MMC-HVDC) have similar levels of available inertia. This paper tackles the problem of determining the optimal APG parameters that entail bounding frequency excursions within acceptable limits while helping to quickly damp out electromechanical oscillations. The tuning task is tackled as a single objective computationally expensive optimization problem. Since the optimization search procedure involves repetitive time-domain (RMS) simulations, the major challenge resides in solving the problem within reduced amount of fitness evaluations. In view of this, an emerging metaheuristic algorithm, namely, the mean-variance mapping optimization (MVMO) is selected. Numerical results prove the effectiveness of MVMO in finding the optimal solution within a few fitness evaluations.

Original language	English
Title of host publication	2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019 - Proceedings
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781728129600
DOIs	https://doi.org/10.1109/SGRE46976.2019.9020696
Publication status	Published - 2019
Event	2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019 - Doha, Qatar Duration: 19 Nov 2019 → 21 Nov 2019

Conference

Conference	2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019
Country/Territory	Qatar
City	Doha
Period	19/11/19 → 21/11/19

Bibliographical note

"Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public."

Keywords

Active power gradient
frequency control
MVMO
VSC-HVDC

UN SDGs

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

Access to Document

10.1109/SGRE46976.2019.9020696

MVMO-based_tuning_of_Active_Power_Gradient_Control_of_VSC-HVDC_links_for_Frequency_SupportFinal published version, 870 KB

Cite this

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title = "MVMO-based tuning of Active Power Gradient Control of VSC-HVDC links for Frequency Support",

abstract = "The active power gradient (APG) control of MMC-HVDC links can contribute to frequency support in AC networks affected by severe active power imbalances. This functionality is particularly convenient if the coupled AC systems (through MMC-HVDC) have similar levels of available inertia. This paper tackles the problem of determining the optimal APG parameters that entail bounding frequency excursions within acceptable limits while helping to quickly damp out electromechanical oscillations. The tuning task is tackled as a single objective computationally expensive optimization problem. Since the optimization search procedure involves repetitive time-domain (RMS) simulations, the major challenge resides in solving the problem within reduced amount of fitness evaluations. In view of this, an emerging metaheuristic algorithm, namely, the mean-variance mapping optimization (MVMO) is selected. Numerical results prove the effectiveness of MVMO in finding the optimal solution within a few fitness evaluations.",

keywords = "Active power gradient, frequency control, MVMO, VSC-HVDC",

author = "Torres, {Jose L.Rueda} and Arcadio Perilla and Elyas Rakhshani and Peter Palensky and {Van Der Meijden}, {Mart A.A.M.} and Alex Alefragkis",

note = "{"}Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.{"} ; 2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019 ; Conference date: 19-11-2019 Through 21-11-2019",

year = "2019",

doi = "10.1109/SGRE46976.2019.9020696",

language = "English",

booktitle = "2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019 - Proceedings",

publisher = "IEEE",

address = "United States",

}

Torres, JLR , Perilla, A, Rakhshani, E, Palensky, P , Van Der Meijden, MAAM & Alefragkis, A 2019, MVMO-based tuning of Active Power Gradient Control of VSC-HVDC links for Frequency Support. in 2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019 - Proceedings., 9020696, IEEE, 2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019, Doha, Qatar, 19/11/19. https://doi.org/10.1109/SGRE46976.2019.9020696

MVMO-based tuning of Active Power Gradient Control of VSC-HVDC links for Frequency Support. / Torres, Jose L.Rueda ; Perilla, Arcadio; Rakhshani, Elyas et al.
2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019 - Proceedings. IEEE, 2019. 9020696.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - MVMO-based tuning of Active Power Gradient Control of VSC-HVDC links for Frequency Support

AU - Torres, Jose L.Rueda

AU - Perilla, Arcadio

AU - Rakhshani, Elyas

AU - Palensky, Peter

AU - Van Der Meijden, Mart A.A.M.

AU - Alefragkis, Alex

N1 - "Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public."

PY - 2019

Y1 - 2019

N2 - The active power gradient (APG) control of MMC-HVDC links can contribute to frequency support in AC networks affected by severe active power imbalances. This functionality is particularly convenient if the coupled AC systems (through MMC-HVDC) have similar levels of available inertia. This paper tackles the problem of determining the optimal APG parameters that entail bounding frequency excursions within acceptable limits while helping to quickly damp out electromechanical oscillations. The tuning task is tackled as a single objective computationally expensive optimization problem. Since the optimization search procedure involves repetitive time-domain (RMS) simulations, the major challenge resides in solving the problem within reduced amount of fitness evaluations. In view of this, an emerging metaheuristic algorithm, namely, the mean-variance mapping optimization (MVMO) is selected. Numerical results prove the effectiveness of MVMO in finding the optimal solution within a few fitness evaluations.

AB - The active power gradient (APG) control of MMC-HVDC links can contribute to frequency support in AC networks affected by severe active power imbalances. This functionality is particularly convenient if the coupled AC systems (through MMC-HVDC) have similar levels of available inertia. This paper tackles the problem of determining the optimal APG parameters that entail bounding frequency excursions within acceptable limits while helping to quickly damp out electromechanical oscillations. The tuning task is tackled as a single objective computationally expensive optimization problem. Since the optimization search procedure involves repetitive time-domain (RMS) simulations, the major challenge resides in solving the problem within reduced amount of fitness evaluations. In view of this, an emerging metaheuristic algorithm, namely, the mean-variance mapping optimization (MVMO) is selected. Numerical results prove the effectiveness of MVMO in finding the optimal solution within a few fitness evaluations.

KW - Active power gradient

KW - frequency control

KW - MVMO

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M3 - Conference contribution

AN - SCOPUS:85082298250

BT - 2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019 - Proceedings

PB - IEEE

T2 - 2nd International Conference on Smart Grid and Renewable Energy, SGRE 2019

Y2 - 19 November 2019 through 21 November 2019

ER -

MVMO-based tuning of Active Power Gradient Control of VSC-HVDC links for Frequency Support

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

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