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:
Oct. 22, 2024

Filed:

Dec. 19, 2021
Applicant:

Tsinghua University, Beijing, CN;

Inventors:

Wenchuan Wu, Beijing, CN;

Boming Zhang, Beijing, CN;

Zihao Li, Beijing, CN;

Hongbin Sun, Beijing, CN;

Bin Wang, Beijing, CN;

Qinglai Guo, Beijing, CN;

Assignee:

TSINGHUA UNIVERSITY, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/04 (2023.01); G05B 19/042 (2006.01); G06Q 50/06 (2012.01); H02J 3/00 (2006.01);
U.S. Cl.
CPC ...
G06Q 10/04 (2013.01); G05B 19/042 (2013.01); G06Q 50/06 (2013.01); H02J 3/0012 (2020.01); G05B 2219/2639 (2013.01); H02J 2203/20 (2020.01);
Abstract

The present disclosure provides a method for optimizing transformation of automation equipment in a power distribution network based on reliability, including determining installation states of respective components in the power distribution network and operation criterions for fault isolation, load transfer and fault recovery after a fault occurred in a feeder segment; determining a target function which is a target function for minimizing a total transformation cost of the power distribution network; determining constraint conditions including reliability constraints; establishing an optimization model for evaluating the reliability of the power distribution network based on the reliability constraints in accordance with the target function and the constraints; and solving the established optimization model for evaluating the reliability of the power distribution network based on the reliability constraints to obtain optimal solutions as optimization results of the automation transformation state of the circuit breaker and the switch and the reliability index.


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