METHOD AND APPARATUS FOR OPTIMAL CONTROL OF POWER GRID BY USING DIGITAL TWIN

A method for optimal control of a power grid is proposed. The method may include generating, by using a processor, a digital twin model which learns synthetic data and collected data respectively obtained in a power generation resource unit and a demand resource unit to predict grid balancing. The method may also include correcting power grid data of an open platform by using a power grid data prediction model executed by the processor, based on an error between the power grid data obtained in the open platform and power grid data obtained in a real time simulator (RTS). The method may further include controlling the power generation resource unit and the demand resource unit by using a control module executed by the processor, based on grid balancing data predicted by the digital twin model and the corrected power grid data of the open platform.