| CPC G05B 19/042 (2013.01) [G06N 3/092 (2023.01); G05B 2219/2639 (2013.01)] | 11 Claims |

|
1. An ESS operating method performed by an operating device of an energy storage system (ESS), comprising:
forecasting electricity information for a first period using a deep learning model generated based on data about an electricity price and an electricity demand;
deriving an ESS operating policy by a reinforcement learning model based on the electricity information and state information of an energy storage device included in the ESS; and
controlling the ESS based on the derived ESS operating policy,
wherein the deriving of an ESS operating policy includes:
as the ESS operating policy, deriving the electricity to be supplied to the load of the electricity customer by buying an electricity from a grid operator in a period other than an electricity demand peak period according to the forecasted electricity information to charge the energy storage device and selling the electricity from the energy storage device to an electricity customer during the peak period to discharge an electricity stored in the energy storage device, and
as the ESS operating policy, further deriving to buy an electricity transaction stimulus together when the electricity is bought from the grid operator and sell the electricity transaction stimulus to the grid operator whenever the electricity is sold to the electricity customer.
|