IP Library Granted Patent US 10,025,337
Granted Patent B2
US 10,025,337 · App. 14/365,165 · Granted Jul 17, 2018

Method and system for managing an electrical distribution system in a facility

Inventors: Martin A. Hancock (Victoria, CA); Matthew Stanlake (Victoria, CA); Peter C. Cowan (Victoria, CA); John C. Van Gorp (Sidney, CA); David Kidd (Portland, OR); Hugh T. Lindsay (Victoria, CA); John Toffler (Victoria, CA); Catherine Gamroth (Victoria, CA); Kui Wu (Victoria, CA); Dimitri Marinakis (Duncan, CA)
Assignee: SCHNEIDER ELECTRIC USA, INC.
G05F1/66G01R21/1331G06Q50/06
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Quick Facts
Patent No.
US 10,025,337
App. No.
14/365,165
Granted
Jul 17, 2018
Kind
B2
Abstract

A system and method for managing an electrical distribution system in a facility is disclosed. In one aspect, the method may include receiving at a computer system from a monitoring system data related to actual energy use of components of the electrical distribution system, receiving at the computer system a request for a modification to the electrical distribution system, using the computer system, providing a revised electrical distribution system design based on the request and the data related to actual energy use using a system optimization function for the electrical distribution system, modifying the electrical distribution system in accordance with the revised electrical distribution system design to provide a modified electrical distribution system in the facility, and receiving at the computer system from the monitoring system data related to actual energy use of components of the modified electrical distribution system.

Claims (44)

1. A method for managing an electrical distribution system in a facility, the method comprising:

conducting, using a computer system, measurements related to power quality at a plurality of nodes in the electrical distribution system using a monitoring system;

receiving at a computer system from the monitoring system data related to actual energy use of components of the electrical distribution system and data related to the power quality at the plurality of nodes in the electrical distribution system;

using the computer system, generating a current network reliability status for the electrical distribution system based on the data related to the power quality;

using the computer system, providing an estimate of power quality at a node in the electrical distribution system other than the plurality of nodes based on the data related to the power quality;

receiving at the computer system a request for a modification to the electrical distribution system;

using the computer system, providing a revised electrical distribution system design based on the request and the data related to actual energy use using a system optimization function for the electrical distribution system, the system optimization function including at least one calculation of a current power reliability metric for the electrical distribution system based on the network reliability status and the estimate of power quality;

modifying the electrical distribution system in accordance with the revised electrical distribution system design to provide a modified electrical distribution system in the facility; and

receiving at the computer system from the monitoring system data related to actual energy use of components of the modified electrical distribution system.

2. The method of claim 1 , further comprising using the computer system to validate the modified electrical distribution system using the data related to actual energy use of components of the modified electrical distribution system.

3. The method of claim 1 , wherein using a system optimization function includes iteratively determining system parameters, including the current power reliability metric, to achieve an optimized solution.

4. The method of claim 3 , wherein iteratively determining system parameters includes determining parameters related to at least one of efficiency, risk, and redundancy.

5. The method of claim 4 , wherein iteratively determining system parameters includes calculating an efficiency metric for the electrical distribution system based on at least one of a redundancy level of the electrical distribution system and outdoor climate at a geographical location of the electrical distribution system.

6. The method of claim 4 , wherein iteratively determining system parameters includes analyzing the monitoring system data to determine freed capacity in the electrical distribution system, comparing the freed capacity against utilization needs and providing a recommendation for a change in utilization of components in the electrical distribution system based on the freed capacity.

7. The method of claim 4 , wherein iteratively determining system parameters includes determining and updating at least one real-time redundancy value for the electrical distribution system.

8. The method of claim 1 , wherein the estimate of power quality is further based on a power quality transition function of at least one component in the electrical distribution system.

9. A system for managing an electrical distribution system, the system comprising:

a monitoring system having a plurality of electrical monitors coupled to components of the electrical distribution system; and

a controller coupled to the monitoring system and configured to:

conduct measurements related to power quality at a plurality of nodes in the electrical distribution system using the monitoring system;

receive from the monitoring system data related to actual energy use of the components of the electrical distribution system and data related to power quality at the plurality of nodes in the electrical distribution system;

generate a current network reliability status for the electrical distribution system based on the data related to the power quality;

provide an estimate of power quality at a node in the electrical distribution system other than the plurality of nodes based on the data related to the power quality;

receive a request for a modification to the electrical distribution system;

generate a revised electrical distribution system design based on the request and the data related to actual energy use using a system optimization function for the electrical distribution system, the system optimization function including at least one calculation of a current power reliability metric for the electrical distribution system based on the network reliability status and the estimate of power quality;

receive from the monitoring system data related to actual energy use of components of the modified electrical distribution system.

10. The system of claim 9 , wherein the controller is configured to validate the modified electrical distribution system using the data related to actual energy use of components of the modified electrical distribution system.

11. The system of claim 9 , wherein using a system optimization function includes iteratively determining system parameters, including the current power reliability metric, to achieve an optimized solution.

12. The system of claim 11 , wherein iteratively determining system parameters includes determining parameters related to at least one of efficiency, risk, and redundancy.

13. The system of claim 11 , wherein iteratively determining system parameters includes calculating an efficiency metric for the electrical distribution system based on at least one of a redundancy level of the electrical distribution system and outdoor climate at a geographical location of the electrical distribution system.

14. The system of claim 11 , wherein iteratively determining system parameters includes analyzing the monitoring system data to determine freed capacity in the electrical distribution system, comparing the freed capacity against utilization needs and providing a recommendation for a change in utilization of components in the electrical distribution system based on the freed capacity.

15. The system of claim 11 , wherein iteratively determining system parameters includes determining and updating at least one real-time redundancy value for the electrical distribution system.

16. The system of claim 9 , wherein the estimate of power quality is further based on a power quality transition function of at least one component in the electrical distribution system.

17. A non-transitory computer-storage medium having stored thereon sequences of instruction including instructions that will cause a processor to:

conduct measurements related to power quality at a plurality of nodes in the electrical distribution system using a monitoring system;

receive from the monitoring system data related to actual energy use of components of an electrical distribution system and data related to power quality at the plurality of nodes in the electrical distribution system;

generate a current network reliability status for the electrical distribution system based on the data related to the power quality;

provide an estimate of power quality at a node in the electrical distribution system other than the plurality of nodes based on the data related to the power quality;

receive a request for a modification to the electrical distribution system;

generate a revised electrical distribution system design based on the request and the data related to actual energy use using a system optimization function for the electrical distribution system, the system optimization function including at least one calculation of a current power reliability metric for the electrical distribution system based on the network reliability status and the estimate of power quality; and

receive from the monitoring system data related to actual energy use of components of the modified electrical distribution system.

18. The non-transitory computer-storage medium of claim 17 , further comprising sequences of instruction that will cause the processor to validate the modified electrical distribution system using the data related to actual energy use of components of the modified electrical distribution system.

19. The non-transitory computer-storage medium of claim 17 , further comprising sequences of instruction that will cause the processor to use the system optimization function to iteratively determine system parameters, including the current power reliability metric, to achieve an optimized solution.

20. The non-transitory computer-storage medium of claim 19 , wherein iteratively determining system parameters includes determining parameters related to at least one of efficiency, risk, and redundancy.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 28, 2014
From: HANCOCK, MARTIN A.; STANLAKE, MATTHEW; COWAN, PETER C.; VAN GORP, JOHN C.; KIDD, DAVID; LINDSAY, HUGH T.; TOFFLER, JOHN; GAMROTH, CATHERINE; WU, KUI; MARINAKIS, DIMITRI
To: SCHNEIDER ELECTRIC USA INC.
Reel/Frame 034080/0384 →
Continuity (1)
Related Publication 20150051749A1 · Feb 19, 2015
Cited By (1)
US 12,380,012