PV Ramp Rate Control Using Reinforcement Learning Technique Through Integration of Battery Storage System

摘要

Systems and methods are disclosed for storing photovoltaic (PV) generation by applying reinforcement learning (RL)-based control to battery storages for PV ramp rate control; and exchanging energy dynamically to limit a ramp rate of the PV power output and maintaining a battery state of charge level at a predefined level to minimize required battery size and extend the battery life cycles.