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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 | """IEEE 14-bus system (MATPOWER case14)
Data Source: MATPOWER case file `source_mfile/case14.m`
Base MVA: 100.0 MVA
Base kV: 69.0 kV (nominal; MATPOWER bus table uses 0 for baseKV)
UC / economic columns on ``self.units`` match PowerZooJax ``create_case14()`` and are
regenerated from ``powerzoo/case/raw_cases/case14.json`` via
``python -m powerzoo.case.raw_cases.scuc_json_to_case_units`` (keep that script and JSON
in sync with the sibling ``powerzoojax/case/raw_cases/`` tree).
All values are in standard MATPOWER units (MW, MVAr, p.u.)
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,
p_max, p_min, type, ramp_up, ramp_down, init_start_up_cost, keep_time,
init_power, init_state, min_up_time, min_down_time, init_no_load_cost
- 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 Case14(ClearCase):
GRID_TYPE = "transmission"
BUS_COUNT = 14
VOLTAGE_LEVEL = "HV"
SOURCE = "MATPOWER"
DESCRIPTION = "IEEE 14-bus test system"
def __init__(self, *args, **kwargs):
# System base values
self.baseMVA = 100.0
# MATPOWER case14 has baseKV=0 on all buses; use a nominal kV for metadata.
self.baseKV = 69.0
# 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, 1.06, 0.0, 0.0, 1.06, 0.94],
[2.0, 2.0, 21.7, 12.7, 0.0, 0.0, 1.045, -4.98, 0.0, 1.06, 0.94],
[3.0, 2.0, 94.2, 19.0, 0.0, 0.0, 1.01, -12.72, 0.0, 1.06, 0.94],
[4.0, 1.0, 47.8, -3.9, 0.0, 0.0, 1.019, -10.33, 0.0, 1.06, 0.94],
[5.0, 1.0, 7.6, 1.6, 0.0, 0.0, 1.02, -8.78, 0.0, 1.06, 0.94],
[6.0, 2.0, 11.2, 7.5, 0.0, 0.0, 1.07, -14.22, 0.0, 1.06, 0.94],
[7.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.062, -13.37, 0.0, 1.06, 0.94],
[8.0, 2.0, 0.0, 0.0, 0.0, 0.0, 1.09, -13.36, 0.0, 1.06, 0.94],
[9.0, 1.0, 29.5, 16.6, 0.0, 19.0, 1.056, -14.94, 0.0, 1.06, 0.94],
[10.0, 1.0, 9.0, 5.8, 0.0, 0.0, 1.051, -15.1, 0.0, 1.06, 0.94],
[11.0, 1.0, 3.5, 1.8, 0.0, 0.0, 1.057, -14.79, 0.0, 1.06, 0.94],
[12.0, 1.0, 6.1, 1.6, 0.0, 0.0, 1.055, -15.07, 0.0, 1.06, 0.94],
[13.0, 1.0, 13.5, 5.8, 0.0, 0.0, 1.05, -15.16, 0.0, 1.06, 0.94],
[14.0, 1.0, 14.9, 5.0, 0.0, 0.0, 1.036, -16.04, 0.0, 1.06, 0.94]])
# Generator (unit) data — UC columns aligned with Case118 / PowerZooJax case14
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',
'type', 'ramp_up', 'ramp_down', 'init_start_up_cost', 'keep_time',
'init_power', 'init_state', 'min_up_time', 'min_down_time', 'init_no_load_cost'],
[[1.0, 1.0, 232.4, -16.9, 10.0, 0.0, 1.06, 100.0, 1.0, 332.4, 0.0, 0.0, 0.05541301, 34.216168, 332.4, 0.0, 'gas', 0.6953069, 0.6953069, 34238.45, 48.0, 230.74888, 1.0, 2.0, 2.0, 0.0],
[2.0, 2.0, 40.0, 42.4, 50.0, -40.0, 1.045, 100.0, 1.0, 140.0, 0.0, 0.00897295, -1.143378, 67.97416, 140.0, 0.0, 'gas', 0.66157144, 0.66157144, 11382.84, 48.0, 0.0, 0.0, 2.0, 2.0, 0.0],
[3.0, 3.0, 0.0, 23.4, 40.0, 0.0, 1.01, 100.0, 1.0, 100.0, 0.0, 0.0357393, -2.380081, 72.64597, 100.0, 0.0, 'gas', 0.6621, 0.6621, 5235.41, 48.0, 0.0, 0.0, 2.0, 2.0, 0.0],
[4.0, 6.0, 0.0, 12.2, 24.0, -6.0, 1.07, 100.0, 1.0, 100.0, 0.0, 0.03130176, -2.3915932, 78.5705, 100.0, 0.0, 'gas', 0.6694, 0.6694, 5272.29, 48.0, 0.0, 0.0, 8.0, 8.0, 0.0],
[5.0, 8.0, 0.0, 17.4, 24.0, -6.0, 1.09, 100.0, 1.0, 100.0, 0.0, 0.03348683, -2.4855613, 76.65385, 100.0, 0.0, 'gas', 0.6504, 0.6504, 7950.56, 48.0, 0.0, 0.0, 2.0, 2.0, 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, 0.01938, 0.05917, 0.0528, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[2.0, 1.0, 5.0, 0.05403, 0.22304, 0.0492, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[3.0, 2.0, 3.0, 0.04699, 0.19797, 0.0438, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[4.0, 2.0, 4.0, 0.05811, 0.17632, 0.034, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[5.0, 2.0, 5.0, 0.05695, 0.17388, 0.0346, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[6.0, 3.0, 4.0, 0.06701, 0.17103, 0.0128, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[7.0, 4.0, 5.0, 0.01335, 0.04211, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[8.0, 4.0, 7.0, 0.0, 0.20912, 0.0, 0.0, 0.978, 0.0, 1.0, 0.0, 0.0],
[9.0, 4.0, 9.0, 0.0, 0.55618, 0.0, 0.0, 0.969, 0.0, 1.0, 0.0, 0.0],
[10.0, 5.0, 6.0, 0.0, 0.25202, 0.0, 0.0, 0.932, 0.0, 1.0, 0.0, 0.0],
[11.0, 6.0, 11.0, 0.09498, 0.1989, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[12.0, 6.0, 12.0, 0.12291, 0.25581, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[13.0, 6.0, 13.0, 0.06615, 0.13027, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[14.0, 7.0, 8.0, 0.0, 0.17615, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[15.0, 7.0, 9.0, 0.0, 0.11001, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[16.0, 9.0, 10.0, 0.03181, 0.0845, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[17.0, 9.0, 14.0, 0.12711, 0.27038, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[18.0, 10.0, 11.0, 0.08205, 0.19207, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[19.0, 12.0, 13.0, 0.22092, 0.19988, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
[20.0, 13.0, 14.0, 0.17093, 0.34802, 0.0, 0.0, 0.0, 0.0, 1.0, 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, 21.7, 12.7, 0.0, 0.0, 0.0, 21.7, 21.7],
[3.0, 3.0, 94.2, 19.0, 0.0, 0.0, 0.0, 94.2, 94.2],
[4.0, 4.0, 47.8, -3.9, 0.0, 0.0, 0.0, 47.8, 47.8],
[5.0, 5.0, 7.6, 1.6, 0.0, 0.0, 0.0, 7.6, 7.6],
[6.0, 6.0, 11.2, 7.5, 0.0, 0.0, 0.0, 11.2, 11.2],
[7.0, 7.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[8.0, 8.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[9.0, 9.0, 29.5, 16.6, 0.0, 0.0, 0.0, 29.5, 29.5],
[10.0, 10.0, 9.0, 5.8, 0.0, 0.0, 0.0, 9.0, 9.0],
[11.0, 11.0, 3.5, 1.8, 0.0, 0.0, 0.0, 3.5, 3.5],
[12.0, 12.0, 6.1, 1.6, 0.0, 0.0, 0.0, 6.1, 6.1],
[13.0, 13.0, 13.5, 5.8, 0.0, 0.0, 0.0, 13.5, 13.5],
[14.0, 14.0, 14.9, 5.0, 0.0, 0.0, 0.0, 14.9, 14.9]])
self.real_params = True
super().__init__(*args, **kwargs)
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