Systems and Methods for Optimal Synchrophasor Data Recovery

    公开(公告)号:US20230036843A1

    公开(公告)日:2023-02-02

    申请号:US17382578

    申请日:2021-07-22

    Applicant: ABB Schweiz AG

    Abstract: A method for recovering missing phase measurement unit (PMU) measurements from a plurality of PMUs is provided. The method comprises: receiving a plurality of obtained PMU measurements from the plurality of PMUs; populating a PMU dataset based on the plurality of obtained PMU measurements; determining a plurality of missing entries within the PMU dataset, wherein each of the plurality of missing entries indicates a missing PMU measurement within the PMU dataset at a particular time; determining a plurality of substitute entries for the plurality of missing entries based on an optimization algorithm that determines differences associated with a missing entry, of the plurality of missing entries, and a first set of PMU measurements, of the plurality of obtained PMU measurements, that are taken immediately prior to the missing entry; and inserting the plurality of substitute entries into the PMU dataset to generate a new PMU dataset.

    Systems and methods for malicious attack detection in phasor measurement unit data

    公开(公告)号:US12184669B2

    公开(公告)日:2024-12-31

    申请号:US17393767

    申请日:2021-08-04

    Applicant: ABB Schweiz AG

    Abstract: A method for determining whether a power system is encountering a malicious attack is provided. The method comprises: receiving a plurality of first phasor measurement unit (PMU) measurements from a plurality of PMUs of the power system; determining a plurality of expected PMU measurements associated with a future time period based on an optimization algorithm that uses differences between a plurality of consecutive predictive entries and the plurality of first PMU measurements; receiving, from the plurality of PMUs, a plurality of second PMU measurements associated with the future time period; determining whether the power system is encountering the malicious attack based on comparing the plurality of expected PMU measurements with the plurality of second PMU measurements; and executing an action based on whether the power system is encountering the malicious attack.

    Systems and methods for optimal synchrophasor data recovery

    公开(公告)号:US12111821B2

    公开(公告)日:2024-10-08

    申请号:US17382578

    申请日:2021-07-22

    Applicant: ABB Schweiz AG

    CPC classification number: G06F16/2379 G01R25/00

    Abstract: A method for recovering missing phase measurement unit (PMU) measurements from a plurality of PMUs is provided. The method comprises: receiving a plurality of obtained PMU measurements from the plurality of PMUs; populating a PMU dataset based on the plurality of obtained PMU measurements; determining a plurality of missing entries within the PMU dataset, wherein each of the plurality of missing entries indicates a missing PMU measurement within the PMU dataset at a particular time; determining a plurality of substitute entries for the plurality of missing entries based on an optimization algorithm that determines differences associated with a missing entry, of the plurality of missing entries, and a first set of PMU measurements, of the plurality of obtained PMU measurements, that are taken immediately prior to the missing entry; and inserting the plurality of substitute entries into the PMU dataset to generate a new PMU dataset.

    DETECTION OF ERRONEOUS DATA GENERATED IN AN ELECTRIC VEHICLE CHARGING STATION

    公开(公告)号:US20240291859A1

    公开(公告)日:2024-08-29

    申请号:US18176087

    申请日:2023-02-28

    Applicant: ABB Schweiz AG

    CPC classification number: H04L63/1466 B60L53/62

    Abstract: In one aspect, a controller for detecting erroneous data generated at an electric vehicle charging station (EVCS) is provided. The EVCS includes a plurality of electric vehicle supply equipment (EVSE) for charging electric vehicles. The controller is configured to store a plurality of data models that predict a current at a point of common coupling (PCC) drawn by the EVCS from a utility, where each of the plurality of data models ignores measurements from a different one of the plurality of EVSEs, generate a plurality of predicted current values, each generated using a different one of plurality of data models, measure an actual current value at the PCC, calculate a plurality of difference values, each comprising a difference between one of the predicted current values and the actual current value, and determine whether the erroneous data is being generated based on the plurality of difference values.

    Method and Device for Generating Charging Price Signals for an Electric Charging Site

    公开(公告)号:US20240127369A1

    公开(公告)日:2024-04-18

    申请号:US17965208

    申请日:2022-10-13

    Applicant: ABB Schweiz AG

    CPC classification number: G06Q50/06 G06Q30/0204 G06Q30/0206 B60L53/60

    Abstract: A method for determining a charging price for an electric charging site includes receiving time tags and data obtained based on automated metering infrastructure (AMI) data for the electric charging site, and weather information for a service area of the electric charging site; clustering power consumption of the electric charging site with similar weather information and time tags; calculating a center of mass and a distribution confidence parameter for the clustered power consumption to obtain a look-up table; retrieving historical information of voltage VPCC and injection power Psite pairs that is measured at a point of common coupling (PCC) of the electric charging site; receiving weather forecast information for the service area of the electric charging site; and calculating a dynamic hosting capacity (DHC) curve and a price curve based on the center of mass and the distribution confidence parameter, the VPCC and Psite pairs, and the weather forecast information.

    Systems and Methods for Malicious Attack Detection in Phasor Measurement Unit Data

    公开(公告)号:US20230050490A1

    公开(公告)日:2023-02-16

    申请号:US17393767

    申请日:2021-08-04

    Applicant: ABB Schweiz AG

    Abstract: A method for determining whether a power system is encountering a malicious attack is provided. The method comprises: receiving a plurality of first phasor measurement unit (PMU) measurements from a plurality of PMUs of the power system; determining a plurality of expected PMU measurements associated with a future time period based on an optimization algorithm that uses differences between a plurality of consecutive predictive entries and the plurality of first PMU measurements; receiving, from the plurality of PMUs, a plurality of second PMU measurements associated with the future time period; determining whether the power system is encountering the malicious attack based on comparing the plurality of expected PMU measurements with the plurality of second PMU measurements; and executing an action based on whether the power system is encountering the malicious attack.

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