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.

Date of Patent:
May. 05, 2026

Filed:

Jun. 10, 2021
Applicants:

State Grid Gansu Electric Power Research Institute, Lanzhou, CN;

State Grid Gansu Electric Power Company, Lanzhou, CN;

State Grid Qinghai Electric Power Research Institute, Xining, CN;

State Grid Qinghai Electric Power Company, Xining, CN;

State Grid Corporation of China, Beijing, CN;

Inventors:

Qiang Zhou, Lanzhou, CN;

Yanqi Zhang, Lanzhou, CN;

Pengfei Gao, Lanzhou, CN;

Kun Ding, Lanzhou, CN;

Qingquan Lv, Lanzhou, CN;

Long Zhao, Lanzhou, CN;

Ruixiao Zhang, Lanzhou, CN;

Yanhong MA, Lanzhou, CN;

Guodong Wu, Lanzhou, CN;

Chengjia Bao, Lanzhou, CN;

Jinping Zhang, Lanzhou, CN;

Dingmei Wang, Lanzhou, CN;

Jianmei Zhang, Lanzhou, CN;

Jin Li, Lanzhou, CN;

Zhenzhen Zhang, Lanzhou, CN;

Sheng Wang, Lanzhou, CN;

Yongrui Zhang, Lanzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H02J 3/14 (2006.01); H02J 3/00 (2006.01); H02J 3/38 (2006.01);
U.S. Cl.
CPC ...
H02J 3/144 (2020.01); H02J 3/003 (2020.01); H02J 3/004 (2020.01); H02J 3/381 (2013.01); H02J 2203/10 (2020.01); H02J 2203/20 (2020.01); H02J 2300/20 (2020.01); H02J 2310/60 (2020.01);
Abstract

Disclosed is a coordinated peak shaving optimization method for a plurality of power supplies based on a fluctuation characteristic of a renewable energy source, including the following steps: s1: determining a weekly generated electricity quantity of hydropower based on an available capacity and a storage capacity of an electricity quantity; s2: predicting a renewable energy power generation curve and a load curve of a system weekly; s3: determining a start point of peak shaving of the hydropower based on an external transmission curve, the renewable energy generation curve, and the load curve of the system and a generating capacity of the hydropower; s4: determining a weekly peak shaving demand of the system; and s5: establishing an optimization model with a maximum peak shaving demand. The present disclosure proposes a reasonable arrangement for peak shaving, so as to resolve an accommodation problem caused by large-scale access of a renewable energy source.


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