Simulation-based optimisation of LCC-HVDC controller parameters using surrogate model solvers

Aaron S. C. Leavy; Lie Xu; Shaahin Filizadeh; Aniruddha M. Gole

doi:10.1109/COMPEL.2019.8769718

Simulation-based optimisation of LCC-HVDC controller parameters using surrogate model solvers

Aaron S. C. Leavy, Lie Xu, Shaahin Filizadeh, Aniruddha M. Gole

Research output: Contribution to conference › Proceeding › peer-review

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Abstract

This paper proposes the use of surrogate model optimisation methods to solve box constrained LCC-HVDC controller tuning problems. The tuning problem is the selection of the proportional-integral controller gains and voltage-dependant current order limiter parameters of an LCC-HVDC link subject to two operational scenarios and a set of large-signal disturbances. The solvers using recently proposed surrogate model methods performed either similarly to or significantly better than solvers using mature methods of the types found in PSCAD/EMTDC, thus confirming the suitability of these surrogate model solvers for simulation-based optimisation of LCC-HVDC controllers.

Original language	English
Number of pages	8
DOIs	https://doi.org/10.1109/COMPEL.2019.8769718
Publication status	Published - 25 Jul 2019
Event	20th IEEE Workshop on Control and Modeling for Power Electronics - University of Toronto, Toronto, Canada Duration: 17 Jun 2019 → 20 Jun 2019 Conference number: XX https://compel2019.org/

Conference

Conference	20th IEEE Workshop on Control and Modeling for Power Electronics
Abbreviated title	COMPEL
Country/Territory	Canada
City	Toronto
Period	17/06/19 → 20/06/19
Internet address	https://compel2019.org/

Keywords

controller tuning
expensive black-box optimisation
LCC-HVDC
parameter selection
simulation-based optimisation

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Leavy-etal-IEEE-COMPEL-2019-Simulation-based-optimisation-of-LCC-HVDC-controllerAccepted author manuscript, 839 KB

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title = "Simulation-based optimisation of LCC-HVDC controller parameters using surrogate model solvers",

abstract = "This paper proposes the use of surrogate model optimisation methods to solve box constrained LCC-HVDC controller tuning problems. The tuning problem is the selection of the proportional-integral controller gains and voltage-dependant current order limiter parameters of an LCC-HVDC link subject to two operational scenarios and a set of large-signal disturbances. The solvers using recently proposed surrogate model methods performed either similarly to or significantly better than solvers using mature methods of the types found in PSCAD/EMTDC, thus confirming the suitability of these surrogate model solvers for simulation-based optimisation of LCC-HVDC controllers.",

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author = "Leavy, {Aaron S. C.} and Lie Xu and Shaahin Filizadeh and Gole, {Aniruddha M.}",

note = "{\textcopyright} 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 20th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL ; Conference date: 17-06-2019 Through 20-06-2019",

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AU - Leavy, Aaron S. C.

AU - Xu, Lie

AU - Filizadeh, Shaahin

AU - Gole, Aniruddha M.

N1 - Conference code: XX

PY - 2019/7/25

Y1 - 2019/7/25

N2 - This paper proposes the use of surrogate model optimisation methods to solve box constrained LCC-HVDC controller tuning problems. The tuning problem is the selection of the proportional-integral controller gains and voltage-dependant current order limiter parameters of an LCC-HVDC link subject to two operational scenarios and a set of large-signal disturbances. The solvers using recently proposed surrogate model methods performed either similarly to or significantly better than solvers using mature methods of the types found in PSCAD/EMTDC, thus confirming the suitability of these surrogate model solvers for simulation-based optimisation of LCC-HVDC controllers.

AB - This paper proposes the use of surrogate model optimisation methods to solve box constrained LCC-HVDC controller tuning problems. The tuning problem is the selection of the proportional-integral controller gains and voltage-dependant current order limiter parameters of an LCC-HVDC link subject to two operational scenarios and a set of large-signal disturbances. The solvers using recently proposed surrogate model methods performed either similarly to or significantly better than solvers using mature methods of the types found in PSCAD/EMTDC, thus confirming the suitability of these surrogate model solvers for simulation-based optimisation of LCC-HVDC controllers.

KW - controller tuning

KW - expensive black-box optimisation

KW - LCC-HVDC

KW - parameter selection

KW - simulation-based optimisation

U2 - 10.1109/COMPEL.2019.8769718

DO - 10.1109/COMPEL.2019.8769718

M3 - Proceeding

T2 - 20th IEEE Workshop on Control and Modeling for Power Electronics

Y2 - 17 June 2019 through 20 June 2019

ER -

Simulation-based optimisation of LCC-HVDC controller parameters using surrogate model solvers

Abstract

Conference

Keywords

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