The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 02, 2026
Filed:
Apr. 14, 2023
Tsinghua University, Beijing, CN;
State Grid Jibei Electric Power Company, Beijing, CN;
State Grid Beijing Electric Power Company, Beijing, CN;
State Grid Corporation of China, Beijing, CN;
Bin Wang, Beijing, CN;
Guannan Wang, Beijing, CN;
Wenchuan Wu, Beijing, CN;
Jun Zhang, Beijing, CN;
Hongbin Sun, Beijing, CN;
Haitao Liu, Beijing, CN;
Qi Wang, Beijing, CN;
Yanna XI, Beijing, CN;
Jing Xing, Beijing, CN;
Ziang Liu, Beijing, CN;
Hongyu Zhang, Beijing, CN;
Jinhe Zhang, Beijing, CN;
TSINGHUA UNIVERSITY, Beijing, CN;
STATE GRID JIBEI ELECTRIC POWER COMPANY, Beijing, CN;
STATE GRID BEIJING ELECTRIC POWER COMPANY, Beijing, CN;
STATE GRID CORPORATION OF CHINA, Beijing, CN;
Abstract
A method for quantifying and assessing a scheduling risk considering source load fluctuation and rescheduling, and an apparatus for quantifying and assessing a scheduling risk considering source load fluctuation and rescheduling are provided. The method includes establishing a scene set considering a new energy disturbance; establishing and solving a rescheduling optimization model considering the new energy disturbance in each scene based on a preset scheduling plan according to the scene set, so as to obtain a solving result of the rescheduling optimization model; and calculating a risk quantifying and assessing result corresponding to the preset scheduling plan according to the solving result of the rescheduling optimization model.