#HACKATHON 2022

This Python program simulates a basic Smart Energy Management System (SEMS), particularly focusing on how it might intelligently manage energy resources to charge Electric Vehicles (EVs).

The system simulates a scenario where you have:

• Electric Vehicles (EVs): Each with a specific name and battery capacity.
• Energy Sources:
  • PV (Photovoltaic/Solar): Simulates solar energy availability.
  • ESU (Energy Storage Unit): Simulates a battery storage system.
  • Grid: Represents the conventional power grid.
• Time Zones: The simulation considers different time zones and their potential impact on energy availability (e.g., solar energy being more readily available during the day).

1. Data Input: The system reads data from a JSON file (formated_data.json), which contains information about:

   • Available cars (name, capacity).
   • Time zones and their corresponding PV, ESU, and Grid energy availability.

2. User Interaction:

   • The program presents the user with a list of available cars and time zones.
   • You can select one or more cars to charge and specify the time zone for the simulation.

3. Energy Management Logic:

   • The program calculates the total energy demand based on the selected cars.
   • It prioritizes energy sources in the following order:
     • PV (Solar): If enough solar energy is available, it's used first.
     • ESU (Battery): If solar energy is insufficient or unavailable, the battery storage is utilized.
     • Grid: The power grid is used as a last resort if PV and ESU can't meet the demand.
   • The system determines the most efficient charging mode (e.g., PV2EV, ESU2EV, GRID2EV).

4. Output:

   • The program displays:
     • A summary of available cars, their capacities, and time zones.
     • The calculated energy demand, energy source usage, and the charging mode for each selected car.
   • The results can also be optionally written to a text file.

1. Prerequisites: Make sure you have Python 3 installed on your system. You'll also need to install the required libraries:

   pip install colorama prettytable requests
   

2. Data File: Ensure that you have a properly formatted JSON file (formated_data.json) with the required data structure as shown in the example file.

3. Run the Program:

   python Main.py or python universal_smart_charging_infrastructure.py

Interact with the Simulation:

• Follow the on-screen prompts to:
• Select car numbers (separated by commas).
• Enter the time zone.
• Use the following commands for additional options:
• get help: Display help information.
• get update: Check for and download updates (if available).
• get clear: Clear the screen.