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 conferenceProceeding

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.

Conference

Conference20th IEEE Workshop on Control and Modeling for Power Electronics
Abbreviated titleCOMPEL
CountryCanada
CityToronto
Period17/06/1920/06/19
Internet address

Fingerprint

Controllers
Tuning
Limiters
Electric potential

Keywords

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

Cite this

Leavy, A. S. C., Xu, L., Filizadeh, S., & Gole, A. M. (2019). Simulation-based optimisation of LCC-HVDC controller parameters using surrogate model solvers. 20th IEEE Workshop on Control and Modeling for Power Electronics, Toronto, Canada. https://doi.org/10.1109/COMPEL.2019.8769718
Leavy, Aaron S. C. ; Xu, Lie ; Filizadeh, Shaahin ; Gole, Aniruddha M. / Simulation-based optimisation of LCC-HVDC controller parameters using surrogate model solvers. 20th IEEE Workshop on Control and Modeling for Power Electronics, Toronto, Canada.8 p.
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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.",
keywords = "controller tuning, expensive black-box optimisation, LCC-HVDC, parameter selection, simulation-based optimisation",
author = "Leavy, {Aaron S. C.} and Lie Xu and Shaahin Filizadeh and Gole, {Aniruddha M.}",
note = "{\circledC} 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",
year = "2019",
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doi = "10.1109/COMPEL.2019.8769718",
language = "English",
url = "https://compel2019.org/",

}

Leavy, ASC, Xu, L, Filizadeh, S & Gole, AM 2019, 'Simulation-based optimisation of LCC-HVDC controller parameters using surrogate model solvers' 20th IEEE Workshop on Control and Modeling for Power Electronics, Toronto, Canada, 17/06/19 - 20/06/19, . https://doi.org/10.1109/COMPEL.2019.8769718

Simulation-based optimisation of LCC-HVDC controller parameters using surrogate model solvers. / Leavy, Aaron S. C.; Xu, Lie; Filizadeh, Shaahin; Gole, Aniruddha M.

2019. 20th IEEE Workshop on Control and Modeling for Power Electronics, Toronto, Canada.

Research output: Contribution to conferenceProceeding

TY - CONF

T1 - Simulation-based optimisation of LCC-HVDC controller parameters using surrogate model solvers

AU - Leavy, Aaron S. C.

AU - Xu, Lie

AU - Filizadeh, Shaahin

AU - Gole, Aniruddha M.

N1 - © 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.

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

ER -

Leavy ASC, Xu L, Filizadeh S, Gole AM. Simulation-based optimisation of LCC-HVDC controller parameters using surrogate model solvers. 2019. 20th IEEE Workshop on Control and Modeling for Power Electronics, Toronto, Canada. https://doi.org/10.1109/COMPEL.2019.8769718