{
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"description": "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. Theā¦",
"path": "/patents/1114877",
"publishedAt": "2026-05-28T00:00:00.000Z",
"site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
"tags": [
"H02J3/38",
"Korea Electronics Technology Institute"
],
"textContent": "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.",
"title": "METHOD AND APPARATUS FOR OPTIMAL CONTROL OF POWER GRID BY USING DIGITAL TWIN"
}