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Initial release: parquet traces + manifests + grid cases
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"""Power System Case: 33bw
Data Source: MATPOWER case file
Base MVA: 100.0 MVA
Base kV: 12.66 kV
Unit conversions applied:
- Pd/Qd converted from kW/kVar to MW/MVAr (divided by 1000)
- r/x converted from Ohms to p.u. (Z_pu = Z_ohm * Sbase / Vbase^2)
Nodes (bus) columns:
id, type, Pd, Qd, Gs, Bs, Vm, Va, baseKV, Vmax, Vmin
- type: 1=PQ, 2=PV, 3=Slack
- Pd/Qd: Active/Reactive power demand (MW/MVAr)
- Gs/Bs: Shunt conductance/susceptance (MW/MVAr at V=1.0 p.u.)
- Vm: Voltage magnitude (p.u.)
- Va: Voltage angle (degrees)
- baseKV: Base voltage (kV)
- Vmax/Vmin: Voltage limits (p.u.)
Units (generators) columns:
id, bus_id, Pg, Qg, Qmax, Qmin, Vg, mBase, status, Pmax, Pmin, mc_a, mc_b, mc_c
- Pg/Qg: Active/Reactive power output (MW/MVAr)
- Qmax/Qmin: Reactive power limits (MVAr)
- Vg: Voltage setpoint (p.u.)
- mBase: Machine base (MVA)
- status: >0 in-service, <=0 out-of-service
- Pmax/Pmin: Active power limits (MW)
- mc_a/mc_b/mc_c: Marginal cost coefficients (quadratic)
Lines (branches) columns:
id, from, to, r, x, b, rateA, ratio, angle, status, floor, cap
- r/x: Resistance/Reactance (p.u.)
- b: Line charging susceptance (p.u.)
- rateA: Long-term rating (MVA)
- ratio: Transformer tap ratio (0 for line)
- angle: Transformer phase shift (degrees)
- status: 1=in-service, 0=out-of-service
- floor/cap: Power flow limits (MW)
Loads columns:
id, bus_id, Pd, Qd, mc_a, mc_b, mc_c, d_max, d_min
- Pd/Qd: Active/Reactive power demand (MW/MVAr)
- mc_a/mc_b/mc_c: Marginal utility coefficients
- d_max/d_min: Demand limits (MW)
"""
from powerzoo.case.CaseBase import ClearCase, DataFrame
class Case33bw(ClearCase):
GRID_TYPE = "distribution"
BUS_COUNT = 33
VOLTAGE_LEVEL = "MV"
SOURCE = "MATPOWER"
DESCRIPTION = "IEEE 33-bus Baran & Wu radial distribution"
def __init__(self, *args, **kwargs):
# System base values
self.baseMVA = 100.0
self.baseKV = 12.66
# Node (bus) data
self.nodes = DataFrame(
['id', 'type', 'Pd', 'Qd', 'Gs', 'Bs', 'Vm', 'Va', 'baseKV', 'Vmax', 'Vmin'],
[[1.0, 3.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 12.66, 1.0, 1.0],
[2.0, 1.0, 0.1, 0.06, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[3.0, 1.0, 0.09, 0.04, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[4.0, 1.0, 0.12, 0.08, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[5.0, 1.0, 0.06, 0.03, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[6.0, 1.0, 0.06, 0.02, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[7.0, 1.0, 0.2, 0.1, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[8.0, 1.0, 0.2, 0.1, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[9.0, 1.0, 0.06, 0.02, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[10.0, 1.0, 0.06, 0.02, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[11.0, 1.0, 0.045, 0.03, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[12.0, 1.0, 0.06, 0.035, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[13.0, 1.0, 0.06, 0.035, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[14.0, 1.0, 0.12, 0.08, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[15.0, 1.0, 0.06, 0.01, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[16.0, 1.0, 0.06, 0.02, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[17.0, 1.0, 0.06, 0.02, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[18.0, 1.0, 0.09, 0.04, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[19.0, 1.0, 0.09, 0.04, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[20.0, 1.0, 0.09, 0.04, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[21.0, 1.0, 0.09, 0.04, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[22.0, 1.0, 0.09, 0.04, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[23.0, 1.0, 0.09, 0.05, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[24.0, 1.0, 0.42, 0.2, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[25.0, 1.0, 0.42, 0.2, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[26.0, 1.0, 0.06, 0.025, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[27.0, 1.0, 0.06, 0.025, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[28.0, 1.0, 0.06, 0.02, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[29.0, 1.0, 0.12, 0.07, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[30.0, 1.0, 0.2, 0.6, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[31.0, 1.0, 0.15, 0.07, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[32.0, 1.0, 0.21, 0.1, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9],
[33.0, 1.0, 0.06, 0.04, 0.0, 0.0, 1.0, 0.0, 12.66, 1.1, 0.9]])
# Generator (unit) data
self.units = DataFrame(
['id', 'bus_id', 'Pg', 'Qg', 'Qmax', 'Qmin', 'Vg', 'mBase', 'status', 'Pmax', 'Pmin', 'mc_a', 'mc_b', 'mc_c', 'p_max', 'p_min'],
[[1.0, 1.0, 0.0, 0.0, 10.0, -10.0, 1.0, 100.0, 1.0, 10.0, 0.0, 0.0, 0.0, 20.0, 10.0, 0.0]])
# Branch (line) data
self.lines = DataFrame(
['id', 'from', 'to', 'r', 'x', 'b', 'rateA', 'ratio', 'angle', 'status', 'floor', 'cap'],
[[1.0, 1.0, 2.0, 0.05752591161723931, 0.02932448856844086, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[2.0, 2.0, 3.0, 0.3075951673242839, 0.156667639990117, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[3.0, 3.0, 4.0, 0.22835665566062455, 0.11629967381185907, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[4.0, 4.0, 5.0, 0.23777792751984705, 0.12110389853477384, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[5.0, 5.0, 6.0, 0.5109948114372992, 0.44111517910399334, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[6.0, 6.0, 7.0, 0.11679881404281126, 0.386084968641515, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[7.0, 7.0, 8.0, 0.4438604503742304, 0.14668483537107332, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[8.0, 8.0, 9.0, 0.642643047350938, 0.461704713630771, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[9.0, 9.0, 10.0, 0.6513780013926013, 0.461704713630771, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[10.0, 10.0, 11.0, 0.12266371175649943, 0.04055514376486502, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[11.0, 11.0, 12.0, 0.2335976280856225, 0.0772419507398506, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[12.0, 12.0, 13.0, 0.9159223237972591, 0.7206337084372169, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[13.0, 13.0, 14.0, 0.33791793635462913, 0.4447963383072657, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[14.0, 14.0, 15.0, 0.36873984561592654, 0.3281847018510615, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[15.0, 15.0, 16.0, 0.4656354429495194, 0.340039282336176, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[16.0, 16.0, 17.0, 0.8042396971217077, 1.0737754218358877, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[17.0, 17.0, 18.0, 0.4567133113212491, 0.3581331157081926, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[18.0, 2.0, 19.0, 0.10232374734519789, 0.09764430768002116, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[19.0, 19.0, 20.0, 0.9385084192478456, 0.8456683362907391, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[20.0, 20.0, 21.0, 0.2554974057186496, 0.29848585810940653, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[21.0, 21.0, 22.0, 0.4423006371525048, 0.5848051730893535, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[22.0, 3.0, 23.0, 0.28151509025703225, 0.19235616650319826, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[23.0, 23.0, 24.0, 0.5602849092438275, 0.4424254222102428, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[24.0, 24.0, 25.0, 0.559037058666447, 0.43743401990072095, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[25.0, 6.0, 26.0, 0.12665683360411692, 0.06451387485056989, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[26.0, 26.0, 27.0, 0.17731956704576368, 0.09028198927347643, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[27.0, 27.0, 28.0, 0.6607368807229547, 0.5825590420500687, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[28.0, 28.0, 29.0, 0.5017607171646838, 0.4371220572563759, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[29.0, 29.0, 30.0, 0.3166420840102922, 0.16128468712642474, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[30.0, 30.0, 31.0, 0.6079528012997611, 0.6008400530086925, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[31.0, 31.0, 32.0, 0.19372880213831675, 0.2257985619769946, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[32.0, 32.0, 33.0, 0.2127585234433688, 0.3308051880635605, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[33.0, 21.0, 8.0, 1.247850577380462, 1.247850577380462, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[34.0, 9.0, 15.0, 1.247850577380462, 1.247850577380462, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[35.0, 12.0, 22.0, 1.247850577380462, 1.247850577380462, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[36.0, 18.0, 33.0, 0.3119626443451155, 0.3119626443451155, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[37.0, 25.0, 29.0, 0.3119626443451155, 0.3119626443451155, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]])
# Load data
self.loads = DataFrame(
['id', 'bus_id', 'Pd', 'Qd', 'mc_a', 'mc_b', 'mc_c', 'd_max', 'd_min'],
[[1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[2.0, 2.0, 0.1, 0.06, 0.0, 0.0, 0.0, 0.1, 0.1],
[3.0, 3.0, 0.09, 0.04, 0.0, 0.0, 0.0, 0.09, 0.09],
[4.0, 4.0, 0.12, 0.08, 0.0, 0.0, 0.0, 0.12, 0.12],
[5.0, 5.0, 0.06, 0.03, 0.0, 0.0, 0.0, 0.06, 0.06],
[6.0, 6.0, 0.06, 0.02, 0.0, 0.0, 0.0, 0.06, 0.06],
[7.0, 7.0, 0.2, 0.1, 0.0, 0.0, 0.0, 0.2, 0.2],
[8.0, 8.0, 0.2, 0.1, 0.0, 0.0, 0.0, 0.2, 0.2],
[9.0, 9.0, 0.06, 0.02, 0.0, 0.0, 0.0, 0.06, 0.06],
[10.0, 10.0, 0.06, 0.02, 0.0, 0.0, 0.0, 0.06, 0.06],
[11.0, 11.0, 0.045, 0.03, 0.0, 0.0, 0.0, 0.045, 0.045],
[12.0, 12.0, 0.06, 0.035, 0.0, 0.0, 0.0, 0.06, 0.06],
[13.0, 13.0, 0.06, 0.035, 0.0, 0.0, 0.0, 0.06, 0.06],
[14.0, 14.0, 0.12, 0.08, 0.0, 0.0, 0.0, 0.12, 0.12],
[15.0, 15.0, 0.06, 0.01, 0.0, 0.0, 0.0, 0.06, 0.06],
[16.0, 16.0, 0.06, 0.02, 0.0, 0.0, 0.0, 0.06, 0.06],
[17.0, 17.0, 0.06, 0.02, 0.0, 0.0, 0.0, 0.06, 0.06],
[18.0, 18.0, 0.09, 0.04, 0.0, 0.0, 0.0, 0.09, 0.09],
[19.0, 19.0, 0.09, 0.04, 0.0, 0.0, 0.0, 0.09, 0.09],
[20.0, 20.0, 0.09, 0.04, 0.0, 0.0, 0.0, 0.09, 0.09],
[21.0, 21.0, 0.09, 0.04, 0.0, 0.0, 0.0, 0.09, 0.09],
[22.0, 22.0, 0.09, 0.04, 0.0, 0.0, 0.0, 0.09, 0.09],
[23.0, 23.0, 0.09, 0.05, 0.0, 0.0, 0.0, 0.09, 0.09],
[24.0, 24.0, 0.42, 0.2, 0.0, 0.0, 0.0, 0.42, 0.42],
[25.0, 25.0, 0.42, 0.2, 0.0, 0.0, 0.0, 0.42, 0.42],
[26.0, 26.0, 0.06, 0.025, 0.0, 0.0, 0.0, 0.06, 0.06],
[27.0, 27.0, 0.06, 0.025, 0.0, 0.0, 0.0, 0.06, 0.06],
[28.0, 28.0, 0.06, 0.02, 0.0, 0.0, 0.0, 0.06, 0.06],
[29.0, 29.0, 0.12, 0.07, 0.0, 0.0, 0.0, 0.12, 0.12],
[30.0, 30.0, 0.2, 0.6, 0.0, 0.0, 0.0, 0.2, 0.2],
[31.0, 31.0, 0.15, 0.07, 0.0, 0.0, 0.0, 0.15, 0.15],
[32.0, 32.0, 0.21, 0.1, 0.0, 0.0, 0.0, 0.21, 0.21],
[33.0, 33.0, 0.06, 0.04, 0.0, 0.0, 0.0, 0.06, 0.06]])
self.real_params = True
super().__init__(*args, **kwargs)