model_supergrid.yaml

import:  # Import other files from paths relative to this file, or absolute paths
    - 'model_config/techs.yaml'  # This file specifies the model's technologies
    - 'model_config/locations.yaml'  # This file specifies the model's locations
    - 'model_config/links_with_interconnection.yaml' # This file specifies the links between locations without considering inter-island connections
    - 'scenarios.yaml'

# Model configuration: all settings that affect the built model
model:
    name: Calliope-Indonesia

    # What version of Calliope this model is intended for
    calliope_version: 0.6.8

    # Time series data path - can either be a path relative to this file, or an absolute path
    timeseries_data_path: 'timeseries_data'

    subset_time: ['2050-01-01', '2050-12-31']  # Subset of timesteps
    time: {function: resample, function_options: {'resolution': '3H'}}

    reserve_margin:
        power: 0.4 # See PLN RUPTL 2021-2030 page II-12 (35% used for Jawa-Bali system, 40% used for rest of country)

# Run configuration: all settings that affect how the built model is run
run:
    solver: gurobi

    solver_options: # only works for gurobi
        Method: 2 # Barrier method (if not forced, gurobi tries all other methods in parallel)
        Crossover: 0 # turns off crossover (it validates optimal solution, but kind of useless)
        BarConvTol: 1e-4
        BarHomogeneous: 1 # use this if you encounter numerical issues
        BarIterLimit: 10000 # use this if you encounter numerical issues
        OptimalityTol: 1e-4
        FeasibilityTol: 1e-4

    ensure_feasibility: false  # Switches on the "unmet demand" constraint
#    bigM: 1e9  # Sets the scale of unmet demand, which cannot be too high, otherwise the optimisation will not converge

    zero_threshold: 1e-3  # Any value coming out of the backend that is smaller than this (due to floating point errors, probably) will be set to zero

    mode: plan  # Choices: plan, operate

    objective_options.cost_class: {monetary: 1}