Simulation-based optimisation of LCC-HVDC controller parameters using surrogate model solvers
Leavy, Aaron S. C. and Xu, Lie and Filizadeh, Shaahin and Gole, Aniruddha M. (2019) Simulation-based optimisation of LCC-HVDC controller parameters using surrogate model solvers. In: 20th IEEE Workshop on Control and Modeling for Power Electronics, 2019-06-17 - 2019-06-20, University of Toronto. (https://doi.org/10.1109/COMPEL.2019.8769718)
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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.
ORCID iDs
Leavy, Aaron S. C. ORCID: https://orcid.org/0000-0003-1869-4648, Xu, Lie ORCID: https://orcid.org/0000-0001-5633-7866, Filizadeh, Shaahin and Gole, Aniruddha M.;-
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Item type: Conference or Workshop Item(Paper) ID code: 68799 Dates: DateEvent25 July 2019Published17 June 2019Published Online10 May 2019AcceptedNotes: © 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. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 10 Jul 2019 15:29 Last modified: 30 Nov 2024 01:35 URI: https://strathprints.strath.ac.uk/id/eprint/68799