Estimation of Capacity of Energy Storage System for New Renewable Energy Control Based on Machine Learning

摘要

The present invention relates to a method for estimating the capacity of an energy storage device for controlling renewable energy based on machine learning, and repeating a simulation value of an appropriate capacity using a machine learning device to derive an appropriate capacity of an energy storage device for controlling renewable energy. It is related to the method of calculating the capacity of the energy storage device for new and renewable energy control based on machine learning that can calculate and maintain the power quality of the connected point by relaxing the system standards and secure the reserve power to minimize the output variability.