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:
Feb. 21, 2017

Filed:

Mar. 06, 2014
Applicant:

Abb Research Ltd., Zurich, CH;

Inventors:

Fang Yang, Menasha, WI (US);

Salman Mohagheghi, Centennial, CO (US);

Assignee:

ABB Research Ltd., Zurich, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H02J 3/38 (2006.01); H02J 4/00 (2006.01); H02J 3/14 (2006.01); H02J 3/00 (2006.01);
U.S. Cl.
CPC ...
H02J 4/00 (2013.01); H02J 3/005 (2013.01); H02J 3/14 (2013.01); H02J 2003/003 (2013.01); H02J 2003/007 (2013.01); Y02B 70/3225 (2013.01); Y02E 60/76 (2013.01); Y04S 10/54 (2013.01); Y04S 20/222 (2013.01); Y04S 40/22 (2013.01);
Abstract

In one aspect of the teachings herein, demand responsive loads are selected for involvement in a given DR event using an advantageous approach to selection that is based on using a mathematical network model to evaluate power loss in a power distribution network as a function of different combinations of demand responsive load selections and corresponding load reduction values. The mathematical network model comprises a mathematical representation of the power distribution network as a multi-phase unbalanced distribution network, including mathematical representations of the physical components in the power distribution network and the connecting relationships of those components. As overall power loss in the system is a function of different combinations of demand responsive load selections, the mathematical network model is used to evaluate system power loss under different demand response load selections, in a manner that automatically accommodates mesh networks and other complex network topologies, distributed generation sources, etc.


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