DAM-only Price-Quantity Example
[1]:
import generation_models as gm
from tyba_client.client import Client
import numpy as np
import pandas as pd
import os
[2]:
client = Client(os.environ["TYBA_PAT"])
[5]:
hours = 48
n = 3
model = gm.StandaloneStorageModel(
energy_prices=gm.DARTPriceScenarios(
rtm=np.random.random((n, hours)).tolist(),
dam=np.random.random((n, hours)).tolist(),
weights=[0.3, 0.2, 0.5], # probability of each scenario
),
project_term=48,
project_term_units="hours",
storage_inputs=gm.MultiStorageInputs(
batteries=[gm.BatteryParams(
power_capacity=1e3,
energy_capacity=2 * 1e3 / 0.95,
discharge_efficiency=0.95,
charge_efficiency=0.95,
degradation_rate=0.0,
)],
energy_strategy=gm.MarketConfig(
da=gm.BidOfferStrategy.price_quantity, # Makes DAM price-quantity
rt=None # Makes RTM cover DAM with quantity-only
),
),
)
[8]:
resp = client.schedule(model)
resp.raise_for_status()
id_ = resp.json()["id"]
[12]:
res = pd.DataFrame(client.wait_on_result(id_))
[17]:
res[["dam_discharge_offer_quantity", "dam_charge_offer_quantity", "dam_discharge_offer_price", "dam_charge_offer_price", "rtm_discharge", "rtm_charge"]]
[17]:
| dam_discharge_offer_quantity | dam_charge_offer_quantity | dam_discharge_offer_price | dam_charge_offer_price | rtm_discharge | rtm_charge | |
|---|---|---|---|---|---|---|
| 0 | 1.890044e-13 | 216.066482 | 1.000000e+06 | 1.000000e+06 | 1.890044e-13 | 216.066482 |
| 1 | 0.000000e+00 | 1000.000000 | 7.614937e-01 | 7.614917e-01 | 0.000000e+00 | 1000.000000 |
| 2 | 0.000000e+00 | 1000.000000 | 6.186046e-01 | 1.806109e-01 | 0.000000e+00 | 1000.000000 |
| 3 | 8.050000e+02 | 0.000000 | 0.000000e+00 | 0.000000e+00 | 8.050000e+02 | 0.000000 |
| 4 | 1.000000e+03 | 0.000000 | 5.573063e-01 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 5 | 0.000000e+00 | 1000.000000 | 8.407292e-01 | 8.407272e-01 | 0.000000e+00 | 1000.000000 |
| 6 | 0.000000e+00 | 1000.000000 | 6.272627e-01 | 6.272607e-01 | 0.000000e+00 | 1000.000000 |
| 7 | 1.000000e+03 | 0.000000 | 5.772265e-01 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 8 | 1.000000e+03 | 0.000000 | 7.198444e-01 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 9 | 0.000000e+00 | 1000.000000 | 3.872528e-01 | 3.872518e-01 | 0.000000e+00 | 1000.000000 |
| 10 | 0.000000e+00 | 1000.000000 | 5.584570e-01 | 5.584550e-01 | 0.000000e+00 | 1000.000000 |
| 11 | 8.050000e+02 | 0.000000 | 5.767334e-01 | 0.000000e+00 | 8.050000e+02 | 0.000000 |
| 12 | 1.000000e+03 | 0.000000 | 8.582361e-01 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 13 | 0.000000e+00 | 1000.000000 | 9.585975e-01 | 6.349638e-02 | 0.000000e+00 | 1000.000000 |
| 14 | 0.000000e+00 | 1000.000000 | 7.119654e-01 | 7.119644e-01 | 0.000000e+00 | 1000.000000 |
| 15 | 1.000000e+03 | 0.000000 | 0.000000e+00 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 16 | 0.000000e+00 | 1000.000000 | 9.535452e-01 | 1.931478e-02 | 0.000000e+00 | 1000.000000 |
| 17 | 0.000000e+00 | 324.099723 | 8.397077e-01 | 0.000000e+00 | 0.000000e+00 | 324.099723 |
| 18 | 1.000000e+03 | 0.000000 | 4.216720e-01 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 19 | 8.050000e+02 | 0.000000 | 4.078660e-01 | 0.000000e+00 | 8.050000e+02 | 0.000000 |
| 20 | 0.000000e+00 | 1000.000000 | 5.187792e-01 | 5.483235e-02 | 0.000000e+00 | 1000.000000 |
| 21 | 1.000000e+03 | 0.000000 | 7.054114e-01 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 22 | 0.000000e+00 | 1000.000000 | 4.819512e-01 | 4.819502e-01 | 0.000000e+00 | 1000.000000 |
| 23 | 1.000000e+03 | 0.000000 | 3.470233e-01 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 24 | 1.890044e-13 | 216.066482 | 1.000000e+06 | 2.647129e-01 | 1.890044e-13 | 216.066482 |
| 25 | 0.000000e+00 | 1000.000000 | 7.581790e-01 | 1.499880e-01 | 0.000000e+00 | 1000.000000 |
| 26 | 0.000000e+00 | 1000.000000 | 5.931051e-01 | 8.834203e-02 | 0.000000e+00 | 1000.000000 |
| 27 | 1.000000e+03 | 0.000000 | 0.000000e+00 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 28 | 0.000000e+00 | 1000.000000 | 9.152580e-01 | 0.000000e+00 | 0.000000e+00 | 1000.000000 |
| 29 | 8.050000e+02 | 0.000000 | 3.562025e-01 | 0.000000e+00 | 8.050000e+02 | 0.000000 |
| 30 | 0.000000e+00 | 1000.000000 | 4.023107e-01 | 1.000000e+06 | 0.000000e+00 | 1000.000000 |
| 31 | 1.000000e+03 | 0.000000 | 4.495349e-01 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 32 | 9.025000e+02 | 0.000000 | 7.346889e-01 | 0.000000e+00 | 9.025000e+02 | 0.000000 |
| 33 | 0.000000e+00 | 1000.000000 | 9.393563e-01 | 9.393543e-01 | 0.000000e+00 | 1000.000000 |
| 34 | 1.000000e+03 | 0.000000 | 8.192541e-01 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 35 | 0.000000e+00 | 1000.000000 | 4.557418e-01 | 7.916343e-02 | 0.000000e+00 | 1000.000000 |
| 36 | 0.000000e+00 | 1000.000000 | 1.523515e-01 | 1.000000e+06 | 0.000000e+00 | 1000.000000 |
| 37 | 1.000000e+03 | 0.000000 | 5.690975e-01 | 5.690965e-01 | 1.000000e+03 | 0.000000 |
| 38 | 5.125000e+02 | 0.000000 | 5.343337e-01 | 0.000000e+00 | 5.125000e+02 | 0.000000 |
| 39 | 0.000000e+00 | 1000.000000 | 7.018872e-01 | 7.018852e-01 | 0.000000e+00 | 1000.000000 |
| 40 | 1.000000e+03 | 0.000000 | 3.534662e-01 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 41 | 0.000000e+00 | 1000.000000 | 9.564798e-01 | 1.583405e-02 | 0.000000e+00 | 1000.000000 |
| 42 | 0.000000e+00 | 1000.000000 | 5.455405e-01 | 5.455385e-01 | 0.000000e+00 | 1000.000000 |
| 43 | 9.025000e+02 | 0.000000 | 4.851630e-01 | 0.000000e+00 | 9.025000e+02 | 0.000000 |
| 44 | 0.000000e+00 | 1000.000000 | 8.337567e-01 | 8.337547e-01 | 0.000000e+00 | 1000.000000 |
| 45 | 1.000000e+03 | 0.000000 | 7.589748e-01 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 46 | 1.000000e+03 | 0.000000 | 6.131428e-01 | 0.000000e+00 | 1.000000e+03 | 0.000000 |
| 47 | 0.000000e+00 | 0.000000 | 6.833991e-01 | 0.000000e+00 | 0.000000e+00 | 0.000000 |
[16]:
res.columns
[16]:
Index(['storage_discharge_max', 'charge_lo', 'soe_lo',
'export_limit_at_coupling', 'soe_mean', 'nominal_hvac_load',
'pre_hvac_total_output', 'negative_rtm_base_point', 'rtm_base_point',
'dam_discharge_offer_quantity', 'discharge_actual', 'total_output',
'soe_hi', 'output', 'dam_charge_offer_quantity', 'charge',
'pre_hvac_output', 'charge_hi', 'soe_actual',
'dam_discharge_offer_price', 'discharge_efficiency', 'discharge',
'battery_output', 'charge_actual', 'discharge_lo',
'import_limit_at_coupling', 'internal_energy', 'internal_energy_max',
'charge_efficiency', 'dam_charge_offer_price', 'rtm_charge',
'discharge_hi', 'hvac_load', 'rtm_discharge', 'pre_hvac_battery_output',
'soe_lo_hb'],
dtype='object')
[ ]: