deleted dead File server_load_profile.py now in flask_server

test.py -> single_test_optimization.py

single_test_optimization.py

@@ -0,0 +1,370 @@
+#!/usr/bin/env python3
+
+from pprint import pprint
+
+# Import necessary modules from the project
+from modules.class_optimize import optimization_problem
+
+start_hour = 10
+
+# PV Forecast (in W)
+pv_forecast = [
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    8.05,
+    352.91,
+    728.51,
+    930.28,
+    1043.25,
+    1106.74,
+    1161.69,
+    6018.82,
+    5519.07,
+    3969.88,
+    3017.96,
+    1943.07,
+    1007.17,
+    319.67,
+    7.88,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    5.04,
+    335.59,
+    705.32,
+    1121.12,
+    1604.79,
+    2157.38,
+    1433.25,
+    5718.49,
+    4553.96,
+    3027.55,
+    2574.46,
+    1720.4,
+    963.4,
+    383.3,
+    0,
+    0,
+    0,
+]
+
+# Temperature Forecast (in degree C)
+temperature_forecast = [
+    18.3,
+    17.8,
+    16.9,
+    16.2,
+    15.6,
+    15.1,
+    14.6,
+    14.2,
+    14.3,
+    14.8,
+    15.7,
+    16.7,
+    17.4,
+    18.0,
+    18.6,
+    19.2,
+    19.1,
+    18.7,
+    18.5,
+    17.7,
+    16.2,
+    14.6,
+    13.6,
+    13.0,
+    12.6,
+    12.2,
+    11.7,
+    11.6,
+    11.3,
+    11.0,
+    10.7,
+    10.2,
+    11.4,
+    14.4,
+    16.4,
+    18.3,
+    19.5,
+    20.7,
+    21.9,
+    22.7,
+    23.1,
+    23.1,
+    22.8,
+    21.8,
+    20.2,
+    19.1,
+    18.0,
+    17.4,
+]
+
+# Electricity Price (in Euro per Wh)
+strompreis_euro_pro_wh = [
+    0.0003384,
+    0.0003318,
+    0.0003284,
+    0.0003283,
+    0.0003289,
+    0.0003334,
+    0.0003290,
+    0.0003302,
+    0.0003042,
+    0.0002430,
+    0.0002280,
+    0.0002212,
+    0.0002093,
+    0.0001879,
+    0.0001838,
+    0.0002004,
+    0.0002198,
+    0.0002270,
+    0.0002997,
+    0.0003195,
+    0.0003081,
+    0.0002969,
+    0.0002921,
+    0.0002780,
+    0.0003384,
+    0.0003318,
+    0.0003284,
+    0.0003283,
+    0.0003289,
+    0.0003334,
+    0.0003290,
+    0.0003302,
+    0.0003042,
+    0.0002430,
+    0.0002280,
+    0.0002212,
+    0.0002093,
+    0.0001879,
+    0.0001838,
+    0.0002004,
+    0.0002198,
+    0.0002270,
+    0.0002997,
+    0.0003195,
+    0.0003081,
+    0.0002969,
+    0.0002921,
+    0.0002780,
+]
+
+# Overall System Load (in W)
+gesamtlast = [
+    676.71,
+    876.19,
+    527.13,
+    468.88,
+    531.38,
+    517.95,
+    483.15,
+    472.28,
+    1011.68,
+    995.00,
+    1053.07,
+    1063.91,
+    1320.56,
+    1132.03,
+    1163.67,
+    1176.82,
+    1216.22,
+    1103.78,
+    1129.12,
+    1178.71,
+    1050.98,
+    988.56,
+    912.38,
+    704.61,
+    516.37,
+    868.05,
+    694.34,
+    608.79,
+    556.31,
+    488.89,
+    506.91,
+    804.89,
+    1141.98,
+    1056.97,
+    992.46,
+    1155.99,
+    827.01,
+    1257.98,
+    1232.67,
+    871.26,
+    860.88,
+    1158.03,
+    1222.72,
+    1221.04,
+    949.99,
+    987.01,
+    733.99,
+    592.97,
+]
+
+# Start Solution (binary)
+start_solution = [
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    0,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+]
+
+# Define parameters for the optimization problem
+parameter = {
+    # Cost of storing energy in battery (per Wh)
+    "preis_euro_pro_wh_akku": 10e-05,
+    # Initial state of charge (SOC) of PV battery (%)
+    "pv_soc": 80,
+    # Battery capacity (in Wh)
+    "pv_akku_cap": 26400,
+    # Yearly energy consumption (in Wh)
+    "year_energy": 4100000,
+    # Feed-in tariff for exporting electricity (per Wh)
+    "einspeiseverguetung_euro_pro_wh": 7e-05,
+    # Maximum heating power (in W)
+    "max_heizleistung": 1000,
+    # Overall load on the system
+    "gesamtlast": gesamtlast,
+    # PV generation forecast (48 hours)
+    "pv_forecast": pv_forecast,
+    # Temperature forecast (48 hours)
+    "temperature_forecast": temperature_forecast,
+    # Electricity price forecast (48 hours)
+    "strompreis_euro_pro_wh": strompreis_euro_pro_wh,
+    # Minimum SOC for electric car
+    "eauto_min_soc": 0,
+    # Electric car battery capacity (Wh)
+    "eauto_cap": 60000,
+    # Charging efficiency of the electric car
+    "eauto_charge_efficiency": 0.95,
+    # Charging power of the electric car (W)
+    "eauto_charge_power": 11040,
+    # Current SOC of the electric car (%)
+    "eauto_soc": 54,
+    # Current PV power generation (W)
+    "pvpowernow": 211.137503624,
+    # Initial solution for the optimization
+    "start_solution": start_solution,
+    # Household appliance consumption (Wh)
+    "haushaltsgeraet_wh": 937,
+    # Duration of appliance usage (hours)
+    "haushaltsgeraet_dauer": 0,
+}
+
+# Initialize the optimization problem
+opt_class = optimization_problem(prediction_hours=48, strafe=10, optimization_hours=24)
+
+# Perform the optimisation based on the provided parameters and start hour
+ergebnis = opt_class.optimierung_ems(parameter=parameter, start_hour=start_hour)
+
+# Print or visualize the result
+pprint(ergebnis)