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. 19, 2024

Filed:

Oct. 01, 2018
Applicants:

Hitachi Energy Ltd, Zürich, CH;

Abb Schweiz Ag, Baden, CN;

Inventors:

Junho Hong, Cary, NC (US);

Dmitry Ishchenko, Cary, NC (US);

Reynaldo Nuqui, Cary, NC (US);

Assignee:

Hitachi Energy Ltd., Zurich, CH;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H02J 13/00 (2006.01); G01R 22/06 (2006.01); G06F 30/18 (2020.01); G06F 30/20 (2020.01);
U.S. Cl.
CPC ...
H02J 13/00002 (2020.01); G01R 22/066 (2013.01); G06F 30/18 (2020.01); G06F 30/20 (2020.01); H02J 13/00016 (2020.01); H02J 13/00022 (2020.01); H02J 2203/20 (2020.01);
Abstract

Systems, methods, techniques and apparatuses of nested microgrids are disclosed. One exemplary embodiment is a method for removing false data in a nested microgrid system, the method comprising: calculating a first local state estimation using a first plurality of local measurements and a second local state estimation using a second plurality of local measurements; calculating, with a central control system, a plurality of global state estimations including a first global state estimation a second global state estimation; performing a first false data detection test using the first local state estimation and one global state estimation of the plurality of global state estimations; performing a second false data detection test using the first global state estimation and the second global state estimation; detecting false data; and updating the first global state estimation, the second global state estimation, or the first local state estimation in response to detecting the false data.


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