Beispiel #1
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# Add the root folder of Dispa-SET to the path so that the library can be loaded:
import sys, os
sys.path.append(os.path.abspath('..'))

# Import Dispa-SET
import dispaset as ds

# Load the configuration file
config = ds.load_config_excel('../ConfigFiles/ConfigEU.xlsx')

# Limit the simulation period (for testing purposes, comment the line to run the whole year)
config['StartDate'] = (2016, 1, 1, 0, 0, 0)
config['StopDate'] = (2016, 1, 7, 0, 0, 0)

# Build the simulation environment:
SimData = ds.build_simulation(config)

# Solve using GAMS:
_ = ds.solve_GAMS(config['SimulationDirectory'], config['GAMS_folder'])

# Load the simulation results:
inputs, results = ds.get_sim_results(config['SimulationDirectory'],
                                     cache=False)

# Generate country-specific plots
ds.plot_country(inputs, results)

# Bar plot with the installed capacities in all countries:
cap = ds.plot_country_capacities(inputs)

# Bar plot with the energy balances in all countries:
Beispiel #2
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import datetime as dt
from dispaset.postprocessing import postprocessing as post
import importlib
importlib.reload(post)
import dispaset as ds
import matplotlib.pyplot as plt
from matplotlib.pyplot import *
import seaborn as sns
import matplotlib.dates as mdates
import pickle
import time as tm
import logging
import shutil
import json

shutil.copy('input_data/ConfigGCC2.xlsx', 'Simulations/ConfigGCC2.xlsx')

# Load the configuration file
config = ds.load_config_excel('Simulations/ConfigGCC2.xlsx')

# Build the simulation environment:
SimData, FuelPrices, FuelPrices2 = ds.build_simulation(
    config, LocalSubsidyMultiplier=1, ExportCostMultiplier=1)

r = ds.solve_GAMS(config['SimulationDirectory'], config['GAMS_folder'])

path = 'Simulations/simulation_GCC'
inputs, results = ds.get_sim_results(path=path, cache=True)

with open('output_data/results.json', 'w') as fp:
    json.dump(str(results), fp)
Beispiel #3
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def test_build(config, tmpdir):
    # Using temp dir to ensure that each time a new directory is used
    config['SimulationDirectory'] = tmpdir
    SimData = ds.build_simulation(config)
    assert isinstance(SimData, dict)  #how to test if sucessful build?
@author: Sylvain Quoilin
"""

# Change directory to the root folder of Dispa-SET:
import sys, os
sys.path.append(os.path.abspath('..'))

# Import Dispa-SET
import dispaset as ds

# Load the configuration file
config = ds.load_config('../ConfigFiles/Config_Mid_Term_Scheduling.xlsx')

## Build simulation data with new profiles
SimData = ds.build_simulation(config, mts_plot=True)

#Solve using GAMS:
#r = ds.solve_GAMS(config['SimulationDirectory'], config['GAMS_folder'])

# Load the simulation results:
#inputs,results = ds.get_sim_results(config['SimulationDirectory'],cache=False)

# Generate country-specific plots
#ds.plot_zone(inputs,results,z='DE')

# Bar plot with the installed capacities in all countries:
#cap = ds.plot_zone_capacities(inputs)

# Bar plot with the energy balances in all countries:
#ds.plot_energy_zone_fuel(inputs,results,ds.get_indicators_powerplant(inputs,results))
@author: Sylvain Quoilin
"""

# Change directory to the root folder of Dispa-SET:
import sys,os
sys.path.append(os.path.abspath('..'))

# Import Dispa-SET
import dispaset as ds

# Load the configuration file
config = ds.load_config('../ConfigFiles/Config_Mid_Term_Scheduling.xlsx')

## Build simulation data with new profiles
SimData = ds.build_simulation(config,mts_plot=True,MTSTimeStep=24)

#Solve using GAMS:
r = ds.solve_GAMS(config['SimulationDirectory'], config['GAMS_folder'])

# Load the simulation results:
inputs,results = ds.get_sim_results(config['SimulationDirectory'],cache=False)

# Generate country-specific plots
ds.plot_zone(inputs,results,z='DE')

# Bar plot with the installed capacities in all countries:
cap = ds.plot_zone_capacities(inputs)

# Bar plot with the energy balances in all countries:
ds.plot_energy_zone_fuel(inputs,results,ds.get_indicators_powerplant(inputs,results))