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:
Apr. 30, 2024

Filed:

Dec. 28, 2018
Applicant:

Enel X North America, Inc., Boston, MA (US);

Inventors:

John Michael Fife, Bend, OR (US);

Gregg Patterson, Spokane, WA (US);

Assignee:

Enel X North America, Inc., Boston, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05B 13/04 (2006.01); G05B 19/042 (2006.01); H02J 3/00 (2006.01); H02J 3/06 (2006.01); H02J 3/32 (2006.01); H02J 3/34 (2006.01); H02J 3/38 (2006.01); H02J 3/46 (2006.01); H02J 13/00 (2006.01); G06F 17/13 (2006.01); G06Q 50/06 (2012.01);
U.S. Cl.
CPC ...
H02J 3/003 (2020.01); G05B 13/048 (2013.01); G05B 19/0421 (2013.01); H02J 3/004 (2020.01); H02J 3/06 (2013.01); H02J 3/34 (2013.01); H02J 3/381 (2013.01); H02J 3/466 (2020.01); H02J 13/00032 (2020.01); G06F 17/13 (2013.01); G06Q 50/06 (2013.01); H02J 2300/40 (2020.01); Y04S 10/12 (2013.01);
Abstract

The present disclosure is directed to systems and methods for economically optimal control of an electrical system. Some embodiments employ generalized multivariable constrained continuous optimization techniques to determine an optimal control sequence over a future time domain in the presence of any number of costs, savings opportunities (value streams), and constraints. Some embodiments also include control methods that enable infrequent recalculation of the optimal setpoints. Some embodiments may include a battery degradation model that, working in conjunction with the economic optimizer, enables the most economical use of any type of battery. Some embodiments include techniques for load and generation learning and prediction. Some embodiments include consideration of external data, such as weather.


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