File size: 11,473 Bytes
27bea43 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 | """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)
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