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:
Jun. 02, 2020

Filed:

May. 18, 2018
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Reza Ghaemi, Watervliet, NY (US);

Xuefei Li, San Ramon, CA (US);

Benjamin Edward Beckmann, Niskayuna, NY (US);

Assignee:

GENERAL ELECTRIC COMPANY, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H02J 13/00 (2006.01); G05B 13/04 (2006.01); F24F 11/30 (2018.01); F24F 140/50 (2018.01); H02J 3/38 (2006.01); F03D 9/25 (2016.01); F24F 140/60 (2018.01);
U.S. Cl.
CPC ...
H02J 13/0006 (2013.01); F24F 11/30 (2018.01); G05B 13/048 (2013.01); F03D 9/255 (2017.02); F05B 2270/337 (2013.01); F24F 2140/50 (2018.01); F24F 2140/60 (2018.01); H02J 3/383 (2013.01); H02J 3/386 (2013.01);
Abstract

Some embodiments may provide a distributed optimization technology for the control of aggregation of distributed flexibility resource nodes (e.g., associated with distributed energy resources) that operates iteratively until a commanded power profile is produced by aggregated loads. Some embodiments use a distributed iterative solution in which each node solves a local optimization problem with local constraints and states, while using global qualities (e.g., associated with a Lagrange multiplier) that are based upon information from each other node. The global qualities may be determined via a secure, distributed transaction ledger (e.g., associated with blockchain) using DER-specific information obtained in a condensed form (e.g., a scalar or vector) from each node at each iteration. The global qualities may be broadcast to the nodes for each new iteration. Embodiments may provide an iterative, distributed solution to the network optimization problem of aggregated load power tracking.


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