93 lines
3.4 KiB
Python
93 lines
3.4 KiB
Python
import numpy as np
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import matplotlib.pyplot as plt
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class Consumer:
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def __init__(self, quantity, average_consumption):
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self.quantity = quantity
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self.consumption_profile = self.create_consumption_profile()
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self.average_consumption = average_consumption
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def create_consumption_profile(self):
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profile = np.zeros(24)
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peak_hours = [12]
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for hour in peak_hours:
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profile[hour] = 1.5
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for hour in range(24):
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if hour not in peak_hours:
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profile[hour] = 0.8
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return profile
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def calculate_daily_consumption(self):
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daily_consumption = self.quantity * self.average_consumption * self.consumption_profile
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return daily_consumption
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class Producer:
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def __init__(self, quantity, average_consumption, average_production):
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self.quantity = quantity
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self.consumption_profile = self.create_consumption_profile()
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self.average_consumption = average_consumption
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self.production_profile = self.create_production_profile()
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self.average_production = average_production
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def create_consumption_profile(self):
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profile = np.zeros(24)
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peak_hours = [8,12,13,18,19,20,21]
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for hour in peak_hours:
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profile[hour] = 1.5
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for hour in range(24):
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if hour not in peak_hours:
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profile[hour] = 0.5
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return profile
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def create_production_profile(self):
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profile = np.zeros(24)
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peak_hours = [8,9,10,11,12,13,14,15,16,17,18,19]
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for hour in peak_hours:
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profile[hour] = 1.5
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for hour in range(24):
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if hour not in peak_hours:
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profile[hour] = 0
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return profile
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def calculate_daily_consumption(self):
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daily_consumption = self.quantity * self.average_consumption * self.consumption_profile
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return daily_consumption
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def calculate_daily_production(self):
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daily_production = self.quantity * self.average_production * self.production_profile
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return daily_production
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class Neighborhood:
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def __init__(self, producer, consumer):
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self.producer = producer
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self.consumer = consumer
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def plot_consumption(self):
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total_consumption = -1*(self.consumer.calculate_daily_consumption() + self.producer.calculate_daily_consumption())
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total_production = self.producer.calculate_daily_production()
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net_value = total_consumption + total_production
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# X-Werte anlegen
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x = range(24)
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x_labels = ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24']
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# Plot dimensionieren
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plt.figure(figsize=(10, 6))
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# y-Werte den x-Werten zuordnen
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plt.plot(x, total_consumption, '--', x, total_production, '--', x, net_value, '-')
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# Titel und Achsenbeschriftungen anlegen
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plt.xlabel('Stunde')
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plt.ylabel('Strom (kWh)')
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plt.title('Produktion/Verbrauch Nachbarschaft')
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# X-Werten die Labels zuordnen
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plt.xticks(x, x_labels)
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# Legende anlegen
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plt.legend(['Verbrauch', 'Produktion', 'Netto-Wert'], loc='upper right')
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# X-Labels rotieren
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plt.xticks(rotation=45)
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# Grid anlegen
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plt.grid(color='black', axis='y', linestyle='--', linewidth=0.5)
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plt.show()
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