openego /
eGon-data
| @@ 228-251 (lines=24) @@ | ||
| 225 | ) |
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| 226 | next_bus_id += 1 |
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| 227 | ||
| 228 | if 220.0 in vnom_per_country[cntr]: |
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| 229 | central_buses = pd.concat( |
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| 230 | [ |
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| 231 | central_buses, |
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| 232 | pd.DataFrame( |
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| 233 | index=[next_bus_id], |
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| 234 | data={ |
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| 235 | "scn_name": scenario, |
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| 236 | "bus_id": next_bus_id, |
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| 237 | "x": central_buses[ |
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| 238 | central_buses.country == cntr |
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| 239 | ].x.unique()[0], |
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| 240 | "y": central_buses[ |
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| 241 | central_buses.country == cntr |
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| 242 | ].y.unique()[0], |
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| 243 | "country": cntr, |
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| 244 | "carrier": "AC", |
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| 245 | "v_nom": 220.0, |
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| 246 | }, |
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| 247 | ), |
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| 248 | ], |
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| 249 | ignore_index=True, |
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| 250 | ) |
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| 251 | next_bus_id += 1 |
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| 252 | ||
| 253 | # Add geometry column |
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| 254 | central_buses = gpd.GeoDataFrame( |
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| @@ 203-226 (lines=24) @@ | ||
| 200 | vnom_per_country = foreign_buses.groupby("country").v_nom.unique().copy() |
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| 201 | for cntr in vnom_per_country.index: |
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| 202 | print(cntr) |
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| 203 | if 110.0 in vnom_per_country[cntr]: |
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| 204 | central_buses = pd.concat( |
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| 205 | [ |
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| 206 | central_buses, |
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| 207 | pd.DataFrame( |
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| 208 | index=[next_bus_id], |
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| 209 | data={ |
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| 210 | "scn_name": scenario, |
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| 211 | "bus_id": next_bus_id, |
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| 212 | "x": central_buses[ |
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| 213 | central_buses.country == cntr |
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| 214 | ].x.unique()[0], |
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| 215 | "y": central_buses[ |
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| 216 | central_buses.country == cntr |
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| 217 | ].y.unique()[0], |
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| 218 | "country": cntr, |
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| 219 | "carrier": "AC", |
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| 220 | "v_nom": 110.0, |
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| 221 | }, |
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| 222 | ), |
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| 223 | ], |
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| 224 | ignore_index=True, |
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| 225 | ) |
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| 226 | next_bus_id += 1 |
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| 227 | ||
| 228 | if 220.0 in vnom_per_country[cntr]: |
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| 229 | central_buses = pd.concat( |
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