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

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

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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 languageEnglish
Number of pages8
DOIs
Publication statusPublished - 25 Jul 2019
Event20th IEEE Workshop on Control and Modeling for Power Electronics - University of Toronto, Toronto, Canada
Duration: 17 Jun 201920 Jun 2019
Conference number: XX
https://compel2019.org/

Conference

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

Keywords

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

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    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