公开(公告)号：US20220231504A1

公开(公告)日：2022-07-21

申请号：US17684131

申请日：2022-03-01

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Hongsheng ZENG ,  Bo ZHOU ,  Kejiao LI ,  Fan WANG ,  Yongfeng CHEN ,  Jingzhou HE

IPC: H02J3/06 ,  H02J3/28

Abstract: A method for training a power system scheduling model includes: generating a plurality of first scheduling sub-models based on a first initial scheduling model; acquiring a first matching degree of historical running state information and each of candidate actions, output by each of the plurality of first scheduling sub-models, by inputting the historical running state information into each of the plurality of first scheduling sub-models; generating a second initial scheduling model by correcting the first initial scheduling model based on first matching degrees corresponding to each of the plurality of first scheduling sub-models; and returning to the generating the plurality of first scheduling sub-models based on the second initial scheduling model, until the matching degree output by the second initial scheduling module meets the convergence condition, determining the second initial scheduling model as the power system scheduling model.