ESSs design

ESS (Energy Storage System) Design

This page provides a detailed explanation of the ESS (Energy Storage System) design in the RL-ADN framework. The ESS is represented by a battery model that simulates energy storage and management.

Key Components

Battery Class

The Battery class is the core component representing an energy storage system in the RL-ADN framework. Below are the key components and methods of the Battery class:

• Attributes:

  • capacity: The total energy capacity of the battery in kW.h.
  • max_soc: The maximum state of charge (SOC) as a fraction of capacity.
  • initial_soc: The initial state of charge as a fraction of capacity.
  • min_soc: The minimum state of charge as a fraction of capacity.
  • degradation: The cost of battery degradation per kW.
  • max_charge: The maximum charging power of the battery in kW.
  • max_discharge: The maximum discharging power of the battery in kW.
  • efficiency: The efficiency of charging and discharging processes.
  • current_soc: The current state of charge of the battery.

• Methods:

  • __init__(self, parameters): Initializes the battery object with given parameters.
  • step(self, action_battery): Executes a step of battery operation based on the given action.
  • _get_cost(self, energy): Calculates the cost associated with a given energy change.
  • SOC(self): Returns the current state of charge (SOC) of the battery.
  • reset(self): Resets the state of charge (SOC) of the battery to its initial value.

Battery Initialization

The battery is initialized with a set of parameters that define its capacity, charge/discharge limits, efficiency, and initial state of charge.

In the future, if you can contribute to more complex and realistic ESSs models. This will be nice.