ENERGY STORAGE CONTROL METHODS FOR OPTIMAL VPP ENERGY MANAGEMENT

A method of operating a virtual power plant controller, that manages a power consumer connected to a power grid, a battery storage system, and an independent power plant, includes: obtaining a first data set including time-series information for each of power usage of the power consumer, power output of the independent power plant, power output capacity of the power grid, and state of charge of the battery storage system; training a machine learning (ML) model based on the time-series information using a ML algorithm, the ML model determines one or more parameters of an energy management system (EMS) policy to satisfy a power demand of the power consumer over a predetermined horizon; obtaining a second data set including power availability information; determining the one or more parameters of the EMS policy by inputting the second data set into the ML model; transmitting a command based on the EMS policy.