Electrical power grid modeling
    11.
    发明授权

    公开(公告)号:US11580728B2

    公开(公告)日:2023-02-14

    申请号:US17356897

    申请日:2021-06-24

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for electric grid asset detection are enclosed. An electric grid asset detection method includes: obtaining overhead imagery of a geographic region that includes electric grid wires; identifying the electric grid wires within the overhead imagery; and generating a polyline graph of the identified electric grid wires. The method includes replacing curves in polylines within the polyline graph with a series of fixed lines and endpoints; identifying, based on characteristics of the fixed lines and endpoints, a location of a utility pole that supports the electric grid wires; detecting an electric grid asset from street level imagery at the location of the utility pole; and generating a representation of the electric grid asset for use in a model of the electric grid.

    IDENTIFYING ELECTRICAL PHASES OF ELECTRIC GRID WIRES

    公开(公告)号:US20220357383A1

    公开(公告)日:2022-11-10

    申请号:US17729627

    申请日:2022-04-26

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for identifying phases of electrical grid wires are disclosed. A method includes identifying, within an image of a utility pole, a cross-arm supporting multiple wires; identifying a cardinal orientation of the cross-arm based on characteristics of the image; and determining, based on the cardinal orientation of the cross-arm, an electrical phase for each of the wires supported by the cross-arm. Identifying the cardinal orientation of the cross-arm includes: determining an orientation of the cross-arm relative to an axis of a field of view of the image; determining a cardinal orientation of the axis of the field of view; and estimating the cardinal orientation of the cross-arm based on an angular difference between the orientation of the cross-arm relative to the axis of a field of view and the cardinal orientation of the axis of the field of view.

    Power grid assets prediction using generative adversarial networks

    公开(公告)号:US12046901B1

    公开(公告)日:2024-07-23

    申请号:US18166108

    申请日:2023-02-08

    CPC classification number: H02J3/0073 G06N3/084 G06Q50/06 H02J3/14 H02J2203/20

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a neural network to predict locations of feeders in an electrical power grid. One of the methods includes training a generative adversarial network comprising a generator and a discriminator; and generating, by the generator, from input images, output images with feeder metadata that represents predicted locations of feeder assets, including receiving by the generator a first input image and generating by the generator a corresponding first output image with first feeder data that identifies one or more feeder assets and their respective locations, wherein the one or more feeder assets had not been identified in any input to the generator.

    Partitioning assets for electric grid connection mapping

    公开(公告)号:US12045025B1

    公开(公告)日:2024-07-23

    申请号:US18179452

    申请日:2023-03-07

    CPC classification number: G05B19/042 G06N20/00 G05B2219/2639

    Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a machine-learning model for predicting event tags. The system obtains asset data for an electric power distribution system in a geographic area. The asset data includes: for each of a plurality of electrical assets of the electrical power distribution system, data indicating one or more characteristics of the electrical asset. The system further obtains sensor data for the electric power distribution system. The sensor data includes measurement data from a plurality of electric sensors. The system generates, by processing the asset data and the sensor data, partition data that includes, for each of the plurality of electrical assets, an assignment that assigns the electrical asset to one of a set of feeder networks.

    PARTITIONING ASSETS FOR ELECTRIC GRID CONNECTION MAPPING

    公开(公告)号:US20230050693A1

    公开(公告)日:2023-02-16

    申请号:US17819129

    申请日:2022-08-11

    Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a machine-learning model for predicting event tags. The system obtains asset data for an electric power distribution system in a geographic area. The asset data includes: for each of a plurality of electrical assets of the electrical power distribution system, data indicating one or more characteristics of the electrical asset. The system further obtains sensor data for the electric power distribution system. The sensor data includes measurement data from a plurality of electric sensors. The system generates, by processing the asset data and the sensor data, partition data that includes, for each of the plurality of electrical assets, an assignment that assigns the electrical asset to one of a set of feeder networks.

    SIMULATION OF MODIFICATIONS TO AN ELECTRICAL GRID

    公开(公告)号:US20220343230A1

    公开(公告)日:2022-10-27

    申请号:US17725964

    申请日:2022-04-21

    Abstract: A computer-implemented method executed by one or more processors includes providing, for presentation by a display, a user interface including graphics depicting one or more fields for receiving input for simulations of electrical grid scenarios; receiving input for a scenario including a proposed modification to the electrical grid; performing a simulation by modeling the input in a virtual model of an electrical grid; modifying the user interface to include graphics depicting: one or more visualizations of results of the simulation for the scenario; and a menu of options for modifying the input; receiving a selection from the menu of options for modifying the input; performing a modified simulation by modeling the modified input in the virtual model of the electrical grid; and modifying the user interface to include graphics depicting one or more visualizations of the results of the simulation compared to the results of the modified simulation.

    SIMULATING ELECTRICAL POWER GRID OPERATIONS

    公开(公告)号:US20220300679A1

    公开(公告)日:2022-09-22

    申请号:US17644393

    申请日:2021-12-15

    Abstract: A computer-implemented method executed by one or more processors includes receiving a request for an output of an electrical grid simulation, the request including data indicating one or more input parameters for the simulation; in response to receiving the request, accessing a virtual model of an electrical grid, the virtual model including multiple different model configurations; selecting, based on the requested output from the simulation, and based on the one or more input parameters for the simulation, (i) a simulation mode including a resolution and scale of the simulation and (ii) one of the multiple different model configurations; executing an electrical grid simulation in the selected simulation mode using the selected model configuration; and based on results of the electrical grid simulation, providing the requested output of the electrical grid simulation.

    FILLING GAPS IN ELECTRIC GRID MODELS

    公开(公告)号:US20250037332A1

    公开(公告)日:2025-01-30

    申请号:US18759165

    申请日:2024-06-28

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for filling gaps in electric grid models are enclosed. A method includes obtaining vector data representing first portions of paths of electric grid wires over a geographic region; converting the vector data to first raster image data that depicts an overhead view of the electric grid wires including a first set of line segments representing the first portions of the paths; processing the first raster image data using a gap filling model; obtaining, as output from the gap filling model, second raster image data including a second set of line segments corresponding to gaps included in the input raster image data and representing second portions of paths of the electric grid wires; and converting the second raster image data to vector data representing the first portions and the second portions of paths of the electric grid wires.

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