def create_sced_uc_model(model_data,
network_constraints='ptdf_power_flow',
relaxed=False,
**kwargs):
'''
Create a model appropriate for the SCED and pricing
'''
formulation_list = [
'garver_3bin_vars',
'garver_power_vars',
'MLR_reserve_vars',
'MLR_generation_limits',
'damcikurt_ramping',
'CA_production_costs',
'rajan_takriti_UT_DT',
'MLR_startup_costs',
network_constraints,
]
return _get_uc_model(model_data, formulation_list, relaxed, **kwargs)
def create_pricing_model(model_data,
network_constraints='ptdf_power_flow',
relaxed=True,
**kwargs):
'''
Create a model appropriate for pricing
'''
formulation_list = [
'garver_3bin_vars',
'garver_power_vars',
'MLR_reserve_vars',
'pan_guan_gentile_KOW_generation_limits',
'damcikurt_ramping',
'KOW_production_costs_tightened',
'rajan_takriti_UT_DT',
'KOW_startup_costs',
network_constraints,
]
return _get_uc_model(model_data, formulation_list, relaxed, **kwargs)