Prompt Content
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.
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