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)

[thumbnail of Leavy-etal-IEEE-COMPEL-2019-Simulation-based-optimisation-of-LCC-HVDC-controller]
Preview
Text. Filename: Leavy_etal_IEEE_COMPEL_2019_Simulation_based_optimisation_of_LCC_HVDC_controller.pdf
Accepted Author Manuscript

Download (859kB)| Preview

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.