IP Library Granted Patent US 10,530,184
Granted Patent B2
US 10,530,184 · App. 15/629,950 · Granted Jan 7, 2020

Validating power network models for monitoring and correcting operation of electric power networks

Inventor: Quang Binh Dam (Atlanta, GA)
Assignee: Landis+Gyr Innovations, Inc.
H02J13/0017G05B13/041H02J3/06H02J2003/007Y02E60/76Y02E60/7838Y04S10/54Y04S40/22
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Quick Facts
Patent No.
US 10,530,184
App. No.
15/629,950
Granted
Jan 7, 2020
Kind
B2
Abstract

This disclosure involves verifying that a power network model corresponds to an electric power network providing electrical power in a geographical area. For instance, a validation device computes a validation score for a power network model based on a connectivity score, an asset score, and a power-flow score. The connectivity score indicates connectivity errors in the power network model as compared to the power network. The asset score indicates power-delivery errors in the power network model with respect to power-consuming assets serviced by the power network. The power-flow score indicates power-flow calculation errors in the power network model with respect to voltage ranges for the power network. The validation score is repeatedly computed for iteratively updated versions of the power network model until a threshold validation score is obtained. The validated power network model is provided to a control system for identifying and correcting errors in the power network.

Claims (91)

1. A method for verifying that a power network model matches an electric power network providing electrical power to multiple assets positioned in multiple locations in a geographical area, the method comprising:

accessing, by a validation device, the power network model, wherein the power network model is generated from asset data stored in a geographic information system database and describing assets and power stations of the electric power network;

computing, by the validation server, a validation score for the power network model by performing operations comprising:

(a) computing a connectivity score indicating connectivity errors in the power network model as compared to the electric power network, wherein computing the connectivity score comprises:

(i) detecting connections among modeled nodes in the power network model and a modeled power source in the power network model,

(ii) generating, in a non-transitory computer-readable medium, a graph data structure representing the modeled nodes and the connection,

(iii) detecting, from the connections represented in the graph data structure, de-energized nodes in the power network model that lack connectivity to the modeled power source, and

(iv) calculating the connectivity score as a function of a number of the nodes and a number of the de-energized nodes, wherein an increase in the number of the de-energized nodes causes the connectivity score to indicate increased connectivity errors,

(b) computing an asset score indicating power-delivery attribute errors in the power network model with respect to power-consuming assets serviced by the electric power network, wherein computing the asset score comprises:

(i) identifying modeled assets included in the power network model,

(ii) determining that deficient assets, which are a subset of the modeled assets, have power-delivery attribute values indicating a power-delivery error, and

(iii) calculating the asset score as a function of a number of the modeled assets and a number of the deficient assets, wherein an increase in the number of the deficient assets causes the asset score to indicate increased power-delivery errors,

(c) computing a power-flow score indicating power-flow calculation errors in the power network model with respect to voltage ranges specified for the electric power network, and

(d) calculating the validation score based on the connectivity score, the asset score, and the power-flow score;

determining, by the validation server, that the validation score is below a threshold validation score;

computing, by the validation server, an updated validation score subsequent to a modification in the power network model, wherein the modification changes one or more of (i) the connections in the power network model, (ii) the power-delivery attribute values in the power network model, and (iii) power-flow calculations in the power network model; and

causing, by the validation server, a control system to identify and correct errors in the electric power network using the power network model with the modification, wherein the validation device outputs the power network model based on the updated validation score exceeding the threshold validation score.

2. The method of claim 1 , wherein the function of the number of the nodes and the number of the de-energized nodes computes a percentage of the nodes that have connectivity to the modeled power source.

3. The method of claim 1 , wherein computing the connectivity score further comprises and identifying, from the power network model, unoccupied de-energized nodes indicating locations that are serviced by the electric power network and that are modeled as lacking consumers, wherein the connectivity score is also calculated from a number of unoccupied de-energized nodes, wherein an increase in the number of the unoccupied de-energized nodes causes the connectivity score to indicate increased connectivity errors.

4. The method of claim 1 , wherein the function of the number of the modeled assets and the number of the deficient assets computes a percentage of the modeled assets that lack the power-delivery errors.

5. The method of claim 1 , further comprising:

partitioning, by the validation device and prior to computing the validation score, the power network model into a sub-model having the modeled power source and an additional sub-model having an additional modeled power source, wherein the validation score is computed for the sub-model;

computing, by the validation server, an additional validation score for the additional sub-model, wherein the additional validation score exceeds the threshold validation score; and

determining, by the validation server, that a modeling error in the power network model is caused by the sub-model rather than the additional sub-model based on the additional validation score exceeding the threshold validation score,

wherein the modification to the power network model is applied to the sub-model.

6. The method of claim 5 , further comprising:

outputting, by the validation server, a recommendation for modifying the power network model to resolve the modeling error; and

applying, by the validation server, the modification responsive to receiving input indicating acceptance of the recommendation.

7. The method of claim 5 , further comprising:

identifying, by the validation server, the modification for resolving the modeling error; and

automatically applying, by the validation server, the modification without receiving user input indicative of selecting the modification.

8. A system comprising:

an electric power network configured for providing electrical power to multiple assets positioned in multiple locations in a geographical area;

a control system communicatively coupled to the electric power network; and

a validation server communicatively coupled to the control system, the validation server configured for:

computing a validation score for a power network model by performing operations comprising:

computing a connectivity score indicating connectivity errors in the power network model as compared to the electric power network

computing an asset score indicating power-delivery errors in the power network model with respect to power-consuming assets serviced by the electric power network,

computing a power-flow score indicating power-flow calculation errors in the power network model with respect to voltage ranges specified for the electric power network, and

calculating the validation score from the connectivity score, the asset score, and the power-flow score;

determining that the validation score is below a threshold validation score;

computing an updated validation score subsequent to a modification in the power network model, wherein the modification changes one or more of (i) connections in the power network model, (ii) power-delivery attribute values in the power network model, and (iii) power-flow calculations in the power network model, and

transmitting the power network model with the modification to the control system, wherein the power network model with the modification is outputted based on the updated validation score exceeding the threshold validation score

wherein the control system configured for:

receiving the power network model from the validation server,

identifying, from the power network model, errors in the electric power network, and

correcting the identified errors by changing a configuration of the electric power network.

9. The system of claim 8 , wherein computing the connectivity score comprises:

detecting connections among modeled nodes in the power network model and a modeled power source in the power network model;

generating, in a non-transitory computer-readable medium, a graph data structure representing the modeled nodes and the connection;

detecting, from the connections represented in the graph data structure, de-energized nodes in the power network model that lack connectivity to the modeled power source; and

calculating the connectivity score as a function of a number of the nodes and a number of the de-energized nodes, wherein an increase in the number of the de-energized nodes causes the connectivity score to indicate increased connectivity errors.

10. The system of claim 9 , wherein the function of the number of the nodes and the number of the de-energized nodes computes a percentage of the nodes that have connectivity to the modeled power source.

11. The system of claim 10 , wherein computing the asset score comprises:

identifying modeled assets included in the power network model;

determining that deficient assets, which are a subset of the modeled assets, have power-delivery attribute values indicating a power-delivery error; and

calculating the asset score as a function of a number of the modeled assets and a number of the deficient assets, wherein an increase in the number of the deficient assets causes the asset score to indicate increased power-delivery errors.

12. The system of claim 11 , wherein the function of the number of the modeled assets and the number of the deficient assets computes a percentage of the modeled assets that lack the power-delivery errors.

13. The system of claim 8 , wherein the validation server is further configured for:

partitioning, prior to computing the validation score, the power network model into a first sub-model having a first modeled power source and a second sub-model having a second modeled power source, wherein the validation score is computed for the first sub-model;

computing an additional validation score for the second sub-model, wherein the additional validation score exceeds the threshold validation score; and

determining, based on the additional validation score exceeding the threshold validation score, that a modeling error in the power network model is caused by the first sub-model rather than the second sub-model,

wherein the modification to the power network model is applied to the first sub-model.

14. The system of claim 13 , wherein the validation server is further configured for:

outputting, by the validation server, a recommendation for modifying the power network model to resolve the modeling error; and

applying, by the validation server, the modification responsive to receiving input indicating acceptance of the recommendation.

15. The system of claim 13 , wherein the validation server is further configured for:

identifying, by the validation server, the modification for resolving the modeling error; and

automatically applying, by the validation server, the modification without receiving user input indicative of selecting the modification.

16. A method for verifying that a power network model matches an electric power network providing electrical power to multiple assets positioned in multiple locations in a geographical area, the method comprising:

accessing, by a validation device, the power network model, wherein the power network model is generated from data describing assets and power stations of the electric power network;

computing, by the validation device, a validation score for the power network model by performing operations comprising:

computing a connectivity score indicating connectivity errors in the power network model as compared to the electric power network,

computing an asset score indicating power-delivery errors in the power network model with respect to power-consuming assets serviced by the electric power network,

computing a power-flow score indicating power-flow calculation errors in the power network model with respect to voltage ranges specified for the electric power network, and

calculating the validation score from the connectivity score, the asset score, and the power-flow score;

determining, by the validation device, that the validation score is below a threshold validation score;

computing, by the validation device, an updated validation score subsequent to a modification in the power network model, wherein the modification changes one or more of (i) connections in the power network model, (ii) power-delivery attributes in the power network model, and (iii) power-flow calculations in the power network model; and

outputting, by the validation device, the power network model with the modification to a control system for identifying and correcting errors in the electric power network, wherein the power network model with the modification is outputted based on the updated validation score exceeding the threshold validation score.

17. The method of claim 16 , wherein computing the connectivity score comprises:

detecting connections among modeled nodes in the power network model and a modeled power source in the power network model;

generating, in a non-transitory computer-readable medium, a graph data structure representing the modeled nodes and the connection;

detecting, from the connections represented in the graph data structure, de-energized nodes in the power network model that lack connectivity to the modeled power source; and

calculating the connectivity score as a function of a number of the nodes and a number of the de-energized nodes, wherein an increase in the number of the de-energized nodes causes the connectivity score to indicate increased connectivity errors,

wherein the function of the number of the nodes and the number of the de-energized nodes computes a percentage of the nodes that have connectivity to the modeled power source.

18. The method of claim 17 , wherein computing the connectivity score further comprises and identifying, from the power network model, unoccupied de-energized nodes indicating locations that are serviced by the electric power network and that are modeled as lacking consumers, wherein the connectivity score is also calculated from a number of unoccupied de-energized nodes, wherein an increase in the number of the unoccupied de-energized nodes causes the connectivity score to indicate increased connectivity errors.

19. The method of claim 16 , wherein computing the asset score comprises:

identifying modeled assets included in the power network model;

determining that deficient assets, which are a subset of the modeled assets, have power-delivery attribute values indicating a power-delivery error; and

calculating the asset score as a function of a number of the modeled assets and a number of the deficient assets, wherein an increase in the number of the deficient assets causes the asset score to indicate increased power-delivery errors.

20. The method of claim 19 , wherein the function of the number of the modeled assets and the number of the deficient assets computes a percentage of the modeled assets that lack the power-delivery errors.

Assignments (2)
MERGER Recorded Oct 27, 2023
From: LANDIS+GYR INNOVATIONS, INC.
To: LANDIS+GYR TECHNOLOGY, INC.
Reel/Frame 065383/0120 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 17, 2017
From: DAM, QUANG BINH
To: LANDIS+GYR INNOVATIONS, INC.
Reel/Frame 043317/0843 →