Automated Planar Coil Array Optimization Workflows for FPP-scale Stellarator Designs

The planar coil stellarator concept simplifies the magnetic coils required for confining a steady-state plasma. This approach utilizes plasma-encircling coils to generate the toroidal magnetic field and planar coil arrays which provide boundary shaping. Previous work on planar coil stellarator designs has constructed high-quality coilsets but required manual parameter tuning. In this work, we implement automated coil array placement and optimization routines which allow for coilsets to be generated over equilibria databases. The workflow leverages a convolution kernel-based coil sizing heuristic and a maximum independent subset subroutine for dense-packing circular coils. Engineering requirements and constraints specific to high temperature superconductors (HTS) are incorporated, including field on tape and proxies for conductor usage. We show Pareto fronts generated over candidate fusion pilot plant (FPP) equilibria databases using the automated optimization workflow, examining how coil geometry and constraints impact performance and HTS metrics. This optimization workflow enables faster exploration of the planar coil stellarator design space and serves as a starting point for downstream fine-tuning and single-stage optimization.