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. 21, 2016

Filed:

Mar. 13, 2013
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Shashank Arvind Pande, Maple Grove, MN (US);

Ian Robert Dromey, Bloomington, MN (US);

Assignee:

ORACLE INTERNATIONAL CORPORATION, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05B 11/01 (2006.01); G05D 11/00 (2006.01); H02J 3/46 (2006.01); G06Q 50/06 (2012.01); H02J 3/00 (2006.01); H02J 3/28 (2006.01); H02J 3/30 (2006.01); H02J 3/32 (2006.01); H02J 3/38 (2006.01); H02J 13/00 (2006.01);
U.S. Cl.
CPC ...
H02J 3/46 (2013.01); G06Q 50/06 (2013.01); H02J 3/008 (2013.01); H02J 3/28 (2013.01); H02J 3/30 (2013.01); H02J 3/32 (2013.01); H02J 3/381 (2013.01); H02J 3/383 (2013.01); H02J 3/386 (2013.01); H02J 13/0062 (2013.01); H02J 13/0079 (2013.01); H02J 2003/003 (2013.01); Y02B 70/3216 (2013.01); Y02E 10/563 (2013.01); Y02E 10/566 (2013.01); Y02E 10/763 (2013.01); Y02E 40/72 (2013.01); Y02E 60/16 (2013.01); Y02E 60/722 (2013.01); Y02E 60/7838 (2013.01); Y02E 70/30 (2013.01); Y04S 10/12 (2013.01); Y04S 10/123 (2013.01); Y04S 10/14 (2013.01); Y04S 10/54 (2013.01); Y04S 20/221 (2013.01); Y04S 40/124 (2013.01); Y04S 50/10 (2013.01);
Abstract

The present disclosure provides for distributed resource scheduling performed by an advanced resource scheduling (ARS) module implemented on a distributed grid management (DGM) server in a power system. The ARS module is configured to automatically generate a resource schedule for controllable distributed energy resources (e.g., resources that are remotely controllable by DGM server and ARS module) in a distribution network of the power system, such as power generation resources and energy storage resources, to provide power in a cost-effective (e.g., optimal) manner. The ARS module is configured to take into account the operating limits of the distributed energy resources (DERs), the cost curves of the DERs, the system load demand, and other operating constraints to determine the most economical operating plan for the DERs, using an optimization technique such as the particle swarm optimization (PSO) algorithm.


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