Reinforcement Learning + Microgrids for OpenDSS with the Stanford Microgrid Analysis and Research Training internship. This work supported the following publication:
- K. Moy, C. Tae, Y. Wang, G. Henri, N. Bambos and R. Rajagopal, "An OpenAI-OpenDSS framework for reinforcement learning on distribution-level microgrids," 2021 IEEE Power & Energy Society General Meeting (PESGM), Washington, DC, USA, 2021, pp. 1-5, doi:
10.1109/PESGM46819.2021.9638106.
Requires OpenDSS and the use of the Python-OpenDSS COM interface.
Requires deep RL framework: OpenAI stable-baselines, gym
Requires NN framework: TensorFlow (1.xx for stable-baselines, 2.xx for keras-rl2), Keras (keras-rl2)
Video link here: https://youtu.be/flXEyVFh_lE