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:
Nov. 21, 2023

Filed:

Mar. 17, 2023
Applicant:

Hunan University, Changsha, CN;

Inventors:

Bin Zhou, Changsha, CN;

Ziqi Da, Changsha, CN;

Zhikang Shuai, Changsha, CN;

Lipeng Zhu, Changsha, CN;

Cong Zhang, Changsha, CN;

Jiayong Li, Changsha, CN;

Yifang Jin, Changsha, CN;

Assignee:

Hunan University, Changsha, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 31/52 (2020.01); G01R 27/26 (2006.01); G06Q 50/06 (2012.01); H02J 3/38 (2006.01); G06Q 10/04 (2023.01); H02S 50/10 (2014.01);
U.S. Cl.
CPC ...
G01R 31/52 (2020.01); G01R 27/2605 (2013.01); G06Q 10/04 (2013.01); G06Q 50/06 (2013.01); H02J 3/381 (2013.01); H02S 50/10 (2014.12); H02J 2203/20 (2020.01); H02J 2300/24 (2020.01);
Abstract

A method for electricity-related security awareness of distributed power supply systems considering spatio-temporal distribution of rainstorms, including: establishing a multi-dimensional parallel parasitic capacitance calculation model of the distributed photovoltaic-energy storage power supply system considering accumulated water depth and micro-terrain environment; performing multi-source spatio-temporal hierarchical correlation analysis between rainstorm spatio-temporal distribution characteristics (including rainfall peak position, cloud movement, rainfall intensity and rainfall duration) and an operating state of the distributed power supply system; constructing a leakage current probability prediction model considering unevenness and randomness of the rainstorm spatio-temporal distribution; and establishing an electricity-related security awareness model based on deep meta-learning.


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