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:
Nov. 10, 2020
Filed:
Jun. 27, 2016
China Electric Power Research Institute Company Limited, Beijing, CN;
State Grid Corporation of China, Beijing, CN;
North China Electric Power University, Beijing, CN;
State Grid Tianjin Electric Power Company, Tianjin, CN;
State Grid Beijing Electric Power Company, Beijing, CN;
Xiaohui Wang, Beijing, CN;
Tianjiao Pu, Beijing, CN;
Lei Dong, Beijing, CN;
Naishi Chen, Beijing, CN;
Ye Li, Beijing, CN;
Jiancheng Yu, Tianjin, CN;
Renle Huang, Beijing, CN;
Xianjun Ge, Beijing, CN;
Zhihong Li, Beijing, CN;
Minghao Ai, Beijing, CN;
Fumin Qu, Beijing, CN;
Liqiang Zhao, Beijing, CN;
CHINA ELECTRIC POWER RESEARCH INSTITUTE COMPANY LIMITED, Beijing, CN;
STATE GRID CORPORATION OF CHINA, Beijing, CN;
NORTH CHINA ELECTRIC POWER UNIVERSITY, Beijing, CN;
STATE GRID BEIJING ELECTRIC POWER COMPANY, Beijing, CN;
STATE GRID TIANJIN ELECTRIC POWER COMPANY, Tianjin, CN;
Abstract
An active power distribution network multi-time scale coordinated optimization scheduling method and storage medium are provided. The method includes the following steps: performing long-time scale optimization scheduling of an active power distribution network; performing short-time scale rolling optimization scheduling on the basis of MPC of the active power distribution network according to an optimization result of the long-time scale optimization scheduling of the active power distribution network. By using a model prediction control method, taking the long-time scale optimization scheduling result as a reference, and performing short-time scale rolling correction, the optimization scheduling of the active power distribution network is achieved, thereby reducing unfavorable influences of prediction precision of a distributed power supply and a low-voltage load on the optimization scheduling.