Reinforcement Learning MicroGrid Control

I'm seeking a professional experienced in reinforcement learning and microgrid control approach. The main task involves creating a system capable of monitoring and optimizing two key parameters: the power output of a generator and the state of charge (SoC) of the battery within the microgrid control system.

Ideal candidate will have:
- A strong background in reinforcement learning.
- Proven experience with microgrid systems.
- Understanding of energy management, specifically load shedding, power scheduling, and voltage regulation.

Expected outcomes of this project should include:
- A sophisticated microgrid control system capable to adapt within changing conditions.
- Real-time optimization of the generator's power output and battery SoC.
- Efficient control actions to manage and balance energy resources.

Please provide examples of similar projects you have worked on before.