Tune solver tolerances and barrier ordering

[SutubraResearch]

Summary

Two solver configuration changes that improve performance on large-scale models:

• Solver tolerances: Relax barrier convergence tolerance from 1e-5 to 1e-3 and feasibility tolerance from 1e-6 to 1e-4 for both Gurobi and CPLEX. These values are standard for large-scale energy system models and match the tolerances used in mip-dev and PyPSA. Tighter tolerances cause unnecessary barrier iterations without meaningful solution improvement.
• BarOrder auto: Change Gurobi BarOrder from 0 (AMD) to -1 (automatic). Automatic ordering selects the best fill-reducing strategy per problem structure, yielding 2-4x speedup on national-scale barrier solves (268s vs 1029s on a 26-region test case).

Files changed

File	Change
temoa/_internal/run_actions.py	Tolerance values + BarOrder setting

Test plan

• All 190 tests pass
• No functional change to model results (solver parameters only)
• Verified on 26-region national model: 2-4x barrier speedup from BarOrder alone

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