From 9ffb41171520be6a8ffe98eaba6cda5a1993748a Mon Sep 17 00:00:00 2001
From: Patrick Hangl <patrick.hangl@medel.com>
Date: Fri, 22 Nov 2024 12:01:56 +0100
Subject: [PATCH] initialer commit

---
 .gitignore      |  1 +
 common.py       |  0
 main.py         | 17 +++++++++
 neighborhood.py | 93 +++++++++++++++++++++++++++++++++++++++++++++++++
 4 files changed, 111 insertions(+)
 create mode 100644 .gitignore
 create mode 100644 common.py
 create mode 100644 main.py
 create mode 100644 neighborhood.py

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..ba0430d
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1 @@
+__pycache__/
\ No newline at end of file
diff --git a/common.py b/common.py
new file mode 100644
index 0000000..e69de29
diff --git a/main.py b/main.py
new file mode 100644
index 0000000..bb4aa17
--- /dev/null
+++ b/main.py
@@ -0,0 +1,17 @@
+from neighborhood import Producer, Consumer, Neighborhood
+
+# Anzahl Haushalte ohne PV-Anlagen
+num_consumer = 50
+avg_consumption_per_consumer = 10
+
+# Anzahl Haushalte mit PV-Anlagen
+num_producer = 10
+avg_production_per_producer = 20
+
+# Instanzen für Erzeuger und Verbraucher anlegen
+consumer = Consumer(num_consumer, avg_consumption_per_consumer)
+producer = Producer(num_producer, avg_consumption_per_consumer, avg_production_per_producer)
+
+# Instanz für Nachbarschaft anlegen und Ergebnis plotten
+neighborhood = Neighborhood(producer, consumer)
+neighborhood.plot_consumption()
\ No newline at end of file
diff --git a/neighborhood.py b/neighborhood.py
new file mode 100644
index 0000000..936ccad
--- /dev/null
+++ b/neighborhood.py
@@ -0,0 +1,93 @@
+import numpy as np
+import matplotlib.pyplot as plt
+
+class Consumer:
+    def __init__(self, quantity, average_consumption):
+        self.quantity = quantity
+        self.consumption_profile = self.create_consumption_profile()
+        self.average_consumption = average_consumption
+
+    def create_consumption_profile(self):
+        profile = np.zeros(24)
+        peak_hours = [12]
+        for hour in peak_hours:
+            profile[hour] = 1.5
+        for hour in range(24):
+            if hour not in peak_hours:
+                profile[hour] = 0.8
+        return profile
+    
+    def calculate_daily_consumption(self):
+        daily_consumption = self.quantity * self.average_consumption * self.consumption_profile
+        return daily_consumption
+    
+class Producer:
+    def __init__(self, quantity, average_consumption, average_production):
+        self.quantity = quantity
+        self.consumption_profile = self.create_consumption_profile()
+        self.average_consumption = average_consumption
+        self.production_profile = self.create_production_profile()
+        self.average_production = average_production
+        
+    def create_consumption_profile(self):
+        profile = np.zeros(24)
+        peak_hours = [8,12,13,18,19,20,21]
+        for hour in peak_hours:
+            profile[hour] = 1.5
+        for hour in range(24):
+            if hour not in peak_hours:
+                profile[hour] = 0.5
+        return profile
+    
+    def create_production_profile(self):
+        profile = np.zeros(24)
+        peak_hours = [8,9,10,11,12,13,14,15,16,17,18,19]
+        for hour in peak_hours:
+            profile[hour] = 1.5
+        for hour in range(24):
+            if hour not in peak_hours:
+                profile[hour] = 0
+        return profile
+    
+    def calculate_daily_consumption(self):
+        daily_consumption = self.quantity * self.average_consumption * self.consumption_profile
+        return daily_consumption
+    
+    def calculate_daily_production(self):
+        daily_production = self.quantity * self.average_production * self.production_profile
+        return daily_production
+    
+class Neighborhood:
+    def __init__(self, producer, consumer):
+        self.producer = producer
+        self.consumer = consumer
+
+    def plot_consumption(self):
+        total_consumption = -1*(self.consumer.calculate_daily_consumption() + self.producer.calculate_daily_consumption())
+        total_production = self.producer.calculate_daily_production()
+        net_value = total_consumption + total_production
+
+        # X-Werte anlegen
+        x = range(24)
+        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']
+        # Plot dimensionieren
+        plt.figure(figsize=(10, 6))
+        # y-Werte den x-Werten zuordnen
+        plt.plot(x, total_consumption, '--', x, total_production, '--', x, net_value, '-')
+        # Titel und Achsenbeschriftungen anlegen
+        plt.xlabel('Stunde')
+        plt.ylabel('Strom (kWh)')
+        plt.title('Produktion/Verbrauch Nachbarschaft')
+        # X-Werten die Labels zuordnen
+        plt.xticks(x, x_labels)
+        # Legende anlegen
+        plt.legend(['Verbrauch', 'Produktion', 'Netto-Wert'], loc='upper right')
+        # X-Labels rotieren
+        plt.xticks(rotation=45)
+        # Grid anlegen
+        plt.grid(color='black', axis='y', linestyle='--', linewidth=0.5)
+        plt.show()
+
+
+
+    
\ No newline at end of file