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:
Jul. 15, 2025

Filed:

Oct. 17, 2024
Applicants:

Electric Power Science & Research Institute of State Grid Tianjin Electric Power Company, Binhai New Area, CN;

State Grid Tianjin Electric Power Company, Hebei District, CN;

State Grid Corporation of China, Beijing, CN;

Inventors:

Xianxu Huo, Binhai New Area, CN;

Jiancheng Yu, Binhai New Area, CN;

Chao Pang, Binhai New Area, CN;

Tao Liu, Binhai New Area, CN;

Yi Ding, Binhai New Area, CN;

Shiqian Ma, Binhai New Area, CN;

Jian Zhang, Binhai New Area, CN;

Chenyang Zhao, Binhai New Area, CN;

Zhishuang Wang, Binhai New Area, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05B 19/042 (2006.01);
U.S. Cl.
CPC ...
G05B 19/042 (2013.01); G05B 2219/2639 (2013.01);
Abstract

Provided are a method for optimizing system energy efficiency and apparatus based on an integrated energy requirement, an electronic device, and a storage medium. The method includes, in response to a received target integrated energy requirement, constructing the energy efficiency optimization function of a target system according to an integrated energy requirement parameter, the operating parameter of the target system, and the environment loss parameter of the target system; constructing a constraint condition for optimizing the energy efficiency of the target system based on the balance relationship between energy supply and energy consumption and a device operating requirement for transmitting energy; and based on the energy efficiency optimization function and the constraint condition, using a target algorithm, using operating parameters of multiple devices in the target system as population individuals.


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