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. 09, 2020

Filed:

Nov. 05, 2018
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Ali Hooshmand, San Jose, CA (US);

Ratnesh Sharma, Fremont, CA (US);

Korosh Vatanparver, Santa Clara, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H02J 7/00 (2006.01); G06Q 50/06 (2012.01);
U.S. Cl.
CPC ...
H02J 7/0069 (2020.01); G06Q 50/06 (2013.01); H02J 7/0021 (2013.01); G05B 2219/2639 (2013.01); H02J 7/00034 (2020.01); H02J 2310/50 (2020.01);
Abstract

Systems and methods for controlling behind-the meter energy storage/management systems (EMSs) for battery-optimized demand charge minimized operations, including determining an optimal monthly demand charge threshold based on a received customer load profile and a customer load profile and savings. The determining of the monthly demand charge threshold includes iteratively performing daily optimizations to determine a daily optimal demand threshold for each day of a month, selecting a monthly demand threshold by clustering the daily optimal demand thresholds for each day of the month into groups, and determining a dominant group representative of a load pattern for a next month. A mean demand threshold for the dominant group is selected as the monthly demand threshold, and continuous battery-optimized demand charge minimized EMS operations are provided based on the monthly demand threshold using a real-time controller configured for overriding the optimal charging/discharging profiles when a monthly demand threshold violation is detected.


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