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create_ieee118_zones.py
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create_ieee118_zones.py
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import matplotlib.pyplot as plt
import pandas as pd
import pandapower as pp
import pandapower.networks as nw
import pandapower.plotting as pplt
def get_net_118_with_zones():
net = nw.case118()
pp.runpp(net)
net.bus.sort_index(inplace=True)
net.bus.loc[:32, "zone"] = 1
net.bus.loc[32:67, "zone"] = 2
net.bus.loc[67:112, "zone"] = 3
net.bus.loc[23, "zone"] = 3
net.bus.loc[[112, 113, 114, 115, 116], "zone"] = 1
net.bus.loc[[115, 117], "zone"] = 3
net.bus.loc[:, "toy_zone"] = False
net.bus.loc[99:112, "toy_zone"] = True
net.bus.loc[[100, 101], "toy_zone"] = False
return net
def get_subnets(net):
areas = dict()
for zone in net.bus.zone.unique():
zone_buses = net.bus.loc[net.bus.zone == zone].index
areas[zone] = pp.select_subnet(net, zone_buses)
return areas
def plot_zones():
net = get_net_118_with_zones()
areas = get_subnets(net)
fig, axes = plt.subplots(1, len(areas.keys()))
keys = areas.keys()
keys = sorted(keys)
for i, zone in enumerate(keys):
net = areas[zone]
collections = list()
ax = axes[i]
sizes = pplt.get_collection_sizes(net)
collections.append(pplt.create_bus_collection(net, size=sizes["bus"]))
collections.append(pplt.create_line_collection(net))
collections.append(pplt.create_trafo_collection(net, size=sizes["trafo"]))
if zone == 3:
collections.append(
pplt.create_bus_collection(
net,
net.bus.loc[net.bus.toy_zone].index,
color="g",
size=2 * sizes["bus"],
zorder=11,
)
)
pplt.draw_collections(collections, ax=ax)
plt.show()
def create_toy_zone():
net = nw.case118()
pp.runpp(net)
vm_ext_grid = net.res_bus.loc[99, "vm_pu"]
va_ext_grid = net.res_bus.loc[99, "va_degree"]
net = get_net_118_with_zones()
areas = get_subnets(net)
net = areas[3]
net = pp.select_subnet(net, buses=net.bus.loc[net.bus.toy_zone].index)
pp.create_ext_grid(net, bus=99, vm_pu=vm_ext_grid, va_degree=va_ext_grid)
pp.runpp(net)
return net
def create_zone3():
net118 = nw.case118()
pp.runpp(net118)
vm_gen = net118.res_bus.at[23, "vm_pu"]
p_mw_gen = net118.res_line.loc[
net118.line.from_bus.isin([23, 24]) & net118.line.to_bus.isin([23, 24]),
"p_from_mw",
]
p_mw_gen = abs(sum(p_mw_gen))
net = get_net_118_with_zones()
areas = get_subnets(net)
net = areas[3]
pp.create_gen(net, bus=23, vm_pu=vm_gen, p_mw=p_mw_gen)
pp.runpp(net)
return net
def create_zone1():
net118 = nw.case118()
pp.runpp(net118)
vm_ext_grid = net118.res_bus.loc[[32, 33, 37], "vm_pu"].mean()
va_ext_grid = net118.res_bus.loc[[32, 33, 37], "va_degree"].mean()
vm_gen = net118.res_bus.at[22, "vm_pu"]
p_mw_gen = net118.res_line.loc[
net118.line.from_bus.isin([22, 23]) & net118.line.to_bus.isin([22, 23]),
"p_from_mw",
]
p_mw_gen = abs(sum(p_mw_gen))
net = get_net_118_with_zones()
areas = get_subnets(net)
net = areas[1]
zone1_lines = [49, 41, 40]
b = pp.create_bus(
net,
vn_kv=net118.bus.loc[33, "vn_kv"],
name="zone2_slack",
index=118,
geodata=(net118.bus_geodata.at[33, "x"], net118.bus_geodata.at[33, "y"]),
)
net.line = pd.concat([net.line, net118.line.loc[zone1_lines]], sort=False)
net.line.loc[zone1_lines, "to_bus"] = int(b)
pp.create_ext_grid(net, bus=b, vm_pu=vm_ext_grid, va_degree=va_ext_grid)
pp.create_gen(net, bus=22, vm_pu=vm_gen, p_mw=p_mw_gen)
pp.runpp(net)
return net
if __name__ == "__main__":
plot_zones()
toy_net = create_toy_zone()
net_zone3 = create_zone3()
net_zone1 = create_zone1()