cardef/genco-small-texas
Updated
Search is not available for this dataset
scenario int64 | r float64 | domes list | amp_sum float64 | wind_area list | solar_area list | gas_m float64 | coal_m float64 | k int64 | branches list | k_gen int64 | gens list |
|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 0.637744 | [
[
28.231404447317818,
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501.1885003793937,
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],
[
31.48775702546471,
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],
[
29.177854012919006,
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585.3431697729671,
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]
] | 8.739599 | [
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320
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1 | 0.631556 | [
[
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]
] | 2.704345 | [
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] | 0.50147 | 0.99089 | 1 | [
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2 | 0.693747 | [
[
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]
] | 5.320233 | [
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0.3606025331173559,
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0.8169504841351395,
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0.1478108799712372
] | 0.959395 | 0.760629 | 1 | [
2659
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121,
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497
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3 | 0.782927 | [
[
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],
[
33.148776411612005,
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511.94203963747816,
3.34604296472049
]
] | 8.174254 | [
0.7464712746631919,
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0.17933287643400952,
0.25974531961528224,
0.13030712282195844,
0.6750437242306339,
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0.7258726803470812,
0.2788300121059011,
0.7396080949161349,
0.982941237837143,
0.9680290311544895
] | 1.719831 | 1.34451 | 0 | [] | 2 | [
146,
466
] |
4 | 0.626744 | [
[
27.242138231071436,
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],
[
31.006941188902918,
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],
[
27.39937413012918,
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215.1740335432125,
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]
] | 9.096826 | [
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0.755686643574965,
0.9203635586494092,
0.4197612186287637,
0.2441599749041381,
0.9584469861688123
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0.6291375038800118,
0.11657662979745564,
0.24930022568735932,
0.45569061516807985,
0.02536609262296574
] | 0.830665 | 0.853904 | 1 | [
1119
] | 0 | [] |
5 | 0.657686 | [
[
30.49615565600548,
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384.28604601070265,
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],
[
29.987781557429848,
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155.922833780714,
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]
] | 12.722481 | [
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] | 1.022951 | 1.270258 | 0 | [] | 3 | [
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6 | 0.654837 | [
[
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[
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[
29.712569788191445,
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] | 8.873051 | [
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0.3841021746076151,
0.25528234452895227,
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] | 2.077542 | 1.203298 | 4 | [
34,
932,
2429,
2521
] | 1 | [
493
] |
7 | 0.786419 | [
[
31.11314049313765,
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399.22115330320594,
6.2603602440481065
]
] | 6.26036 | [
0.8301484520184268,
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0.005943971295558792,
0.03799292615457772,
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0.6471086327228279,
0.41204348408815217
] | [
0.25453912351781816,
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0.7503512092585592,
0.3274773718562186,
0.39115665141369627,
0.024389271183773653,
0.1288957604119889,
0.1741821018479175
] | 1.283436 | 0.718112 | 0 | [] | 2 | [
221,
423
] |
8 | 0.656166 | [
[
27.716900083123043,
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412.755425914175,
7.7964341519344424
],
[
31.396322229767595,
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109.32944720500817,
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]
] | 10.162851 | [
0.14943909357326424,
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0.3895495245935292,
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] | [
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0.1913336330165042,
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0.8397124282211973,
0.8169041546857322,
0.521400351766784
] | 1.113974 | 1.266027 | 1 | [
1468
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292
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9 | 0.645659 | [
[
27.767558653038037,
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123.88874319132518,
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]
] | 2.652382 | [
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0.2120723478275085,
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] | 0.93252 | 0.929804 | 1 | [
22
] | 0 | [] |
10 | 0.772543 | [
[
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],
[
34.25610715792806,
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395.2749336826603,
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] | 7.156191 | [
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] | 0.861124 | 1.179279 | 0 | [] | 3 | [
32,
248,
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11 | 0.698813 | [
[
29.04539536343946,
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] | 7.901292 | [
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] | 0.688823 | 1.151074 | 0 | [] | 1 | [
259
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12 | 0.800118 | [
[
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331.1858844013723,
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] | 2.689246 | [
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279,
394
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13 | 0.739578 | [
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14 | 0.661838 | [
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] | 0.716825 | 0.778848 | 3 | [
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15 | 0.654466 | [
[
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[
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16 | 0.77491 | [
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17 | 0.798468 | [
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18 | 0.693366 | [
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19 | 0.631496 | [
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20 | 0.702615 | [
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21 | 0.667032 | [
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22 | 0.643296 | [
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End of preview. Expand in Data Studio
Grid lab what-ifs: AC-OPF on Texas2k under heat domes and hurricanes
What-ifs on TAMU's Texas2k (ACTIVSg2000, 2016 summer peak: 2,000 buses, 544 units; a synthetic grid, not ERCOT's network), each labelled with its exact AC optimal power flow (gridfm-datakit: PowerModels + Ipopt). They fine-tuned and tested GENCO small in the grid lab Space.
| folder | what-ifs | with an exact optimum | what varies |
|---|---|---|---|
train/heat_domes |
15,000 | 14,770 | 1-3 random heat domes, load, wind, sun, fuel prices, outages |
train/hurricanes |
10,000 | 8,527 | damage draws of 12 historical hurricanes (lines and units out, a damaged zone), on random load, wind, sun and prices |
test/heat_domes |
1,500 | 1,484 | as in training (mostly at 0.6-0.75 of peak load) |
test/harvey |
600 | 569 | Harvey (2017), never seen in training: track shifted up to 50 km, wind speed ×0.9-1.1 |
test/beryl |
600 | 580 | Beryl (2024), the same |
The app's GENCO was fine-tuned on the two train folders together: 23,297 what-ifs with an optimum.
Files in each folder
params.parquet: one row per what-if, keyed byscenario:r(load, share of the 2016 peak),domes(lat, lon, radius km, peak °C of each),amp_sum,wind_areaandsolar_area(availability in the 8 areas),gas_mandcoal_m(price multipliers),k/branchesandk_gen/gens(lines and units out). Hurricanes addstorm_drawanddark(the damaged zone's buses).raw/: gridfm-datakit's output as hive-partitioned parquet:bus_data,gen_data,branch_data,y_bus_data,runtime_data. Theirload_scenario_idxisparams.parquet'sscenario; a what-if without an optimum has no rows.args.logis the generation config,n_scenarios.txtthe count with an optimum.summary.json: the run's counts and timing.
results/ holds the exact verdicts behind the post's findings: cascade_realdays.json (the 52 real peak hours:
Ipopt's verdict and cost, and the app's cascade) and heat_scan_a{4,6,8}.json (a 300 km dome at 67 places at
+4, +6 and +8 °C).
Sources and licence
Texas2k (Texas A&M, CC BY 4.0); ERA5 (Copernicus Climate Change Service, via Open-Meteo, CC BY 4.0); EIA-930 and EIA prices, NOAA HURDAT2 (public domain). This dataset: CC BY 4.0.
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Models trained or fine-tuned on cardef/grid-lab-whatifs