Implement the Market Simulator and RL Environment

Develop the core market simulation logic and the RL environment using Python. This includes simulating ancillary service price signals, grid operator commands, and EV arrival/departure patterns. The environment should manage the state of each battery-buffered charger (SoC, available power) and calculate rewards based on market participation and EV charging fulfillment. Use a framework like OpenAI Gym if appropriate.