The Experts below are selected from a list of 72 Experts worldwide ranked by ideXlab platform

Chuck Mcparland - One of the best experts on this subject based on the ideXlab platform.

  • Online Thevenin Parameter Tracking Using Synchrophasor Data - eScholarship
    2017
    Co-Authors: Jamei, Ciaran Roberts, Alex Mceachern, Sean Peisert, Emma Stewart, Anna Scaglione, Chuck Mcparland
    Abstract:

    There is significant interest in smart grid analytics based on phasor measurement data. One application is estima- tion of the Thevenin equivalent model of the grid from local measurements. In this paper, we propose methods using phasor measurement data to track Thevenin parameters at substations delivering power to both an unbalanced and balanced feeder. We show that for an unbalanced grid, it is possible to estimate the Thevenin parameters at each instant of time using only instantaneous phasor measurements. For balanced grids, we propose a method that is well-suited for online applications when the data is highly temporally-correlated over a short window of time. The effectiveness of the two methods is tested via simulation for two use-cases, one for monitoring voltage stability and the other for identifying cyber attackers Performing Reconnaissance in a distribution substation.

  • Online Thevenin Parameter Tracking Using Synchrophasor Data
    Proceedings of the 2017 IEEE Power Engineering Society (PES) General Meeting (GM), 2017
    Co-Authors: Mahdi Jamei, Ciaran Roberts, Bronwyn H. Hall, Alex Mceachern, Manuel Trajtenberg, Adam Jaffe, Sean Peisert, Emma Stewart, Anna Scaglione, Chuck Mcparland
    Abstract:

    There is significant interest in smart grid analytics based on phasor measurement data. One application is estima- tion of the Thevenin equivalent model of the grid from local measurements. In this paper, we propose methods using phasor measurement data to track Thevenin parameters at substations delivering power to both an unbalanced and balanced feeder. We show that for an unbalanced grid, it is possible to estimate the Thevenin parameters at each instant of time using only instantaneous phasor measurements. For balanced grids, we propose a method that is well-suited for online applications when the data is highly temporally-correlated over a short window of time. The effectiveness of the two methods is tested via simulation for two use-cases, one for monitoring voltage stability and the other for identifying cyber attackers Performing "Reconnaissance" in a distribution substation.

Sean Peisert - One of the best experts on this subject based on the ideXlab platform.

  • Online Thevenin Parameter Tracking Using Synchrophasor Data - eScholarship
    2017
    Co-Authors: Jamei, Ciaran Roberts, Alex Mceachern, Sean Peisert, Emma Stewart, Anna Scaglione, Chuck Mcparland
    Abstract:

    There is significant interest in smart grid analytics based on phasor measurement data. One application is estima- tion of the Thevenin equivalent model of the grid from local measurements. In this paper, we propose methods using phasor measurement data to track Thevenin parameters at substations delivering power to both an unbalanced and balanced feeder. We show that for an unbalanced grid, it is possible to estimate the Thevenin parameters at each instant of time using only instantaneous phasor measurements. For balanced grids, we propose a method that is well-suited for online applications when the data is highly temporally-correlated over a short window of time. The effectiveness of the two methods is tested via simulation for two use-cases, one for monitoring voltage stability and the other for identifying cyber attackers Performing Reconnaissance in a distribution substation.

  • Online Thevenin Parameter Tracking Using Synchrophasor Data
    Proceedings of the 2017 IEEE Power Engineering Society (PES) General Meeting (GM), 2017
    Co-Authors: Mahdi Jamei, Ciaran Roberts, Bronwyn H. Hall, Alex Mceachern, Manuel Trajtenberg, Adam Jaffe, Sean Peisert, Emma Stewart, Anna Scaglione, Chuck Mcparland
    Abstract:

    There is significant interest in smart grid analytics based on phasor measurement data. One application is estima- tion of the Thevenin equivalent model of the grid from local measurements. In this paper, we propose methods using phasor measurement data to track Thevenin parameters at substations delivering power to both an unbalanced and balanced feeder. We show that for an unbalanced grid, it is possible to estimate the Thevenin parameters at each instant of time using only instantaneous phasor measurements. For balanced grids, we propose a method that is well-suited for online applications when the data is highly temporally-correlated over a short window of time. The effectiveness of the two methods is tested via simulation for two use-cases, one for monitoring voltage stability and the other for identifying cyber attackers Performing "Reconnaissance" in a distribution substation.

Anna Scaglione - One of the best experts on this subject based on the ideXlab platform.

  • Online Thevenin Parameter Tracking Using Synchrophasor Data - eScholarship
    2017
    Co-Authors: Jamei, Ciaran Roberts, Alex Mceachern, Sean Peisert, Emma Stewart, Anna Scaglione, Chuck Mcparland
    Abstract:

    There is significant interest in smart grid analytics based on phasor measurement data. One application is estima- tion of the Thevenin equivalent model of the grid from local measurements. In this paper, we propose methods using phasor measurement data to track Thevenin parameters at substations delivering power to both an unbalanced and balanced feeder. We show that for an unbalanced grid, it is possible to estimate the Thevenin parameters at each instant of time using only instantaneous phasor measurements. For balanced grids, we propose a method that is well-suited for online applications when the data is highly temporally-correlated over a short window of time. The effectiveness of the two methods is tested via simulation for two use-cases, one for monitoring voltage stability and the other for identifying cyber attackers Performing Reconnaissance in a distribution substation.

  • Online Thevenin Parameter Tracking Using Synchrophasor Data
    Proceedings of the 2017 IEEE Power Engineering Society (PES) General Meeting (GM), 2017
    Co-Authors: Mahdi Jamei, Ciaran Roberts, Bronwyn H. Hall, Alex Mceachern, Manuel Trajtenberg, Adam Jaffe, Sean Peisert, Emma Stewart, Anna Scaglione, Chuck Mcparland
    Abstract:

    There is significant interest in smart grid analytics based on phasor measurement data. One application is estima- tion of the Thevenin equivalent model of the grid from local measurements. In this paper, we propose methods using phasor measurement data to track Thevenin parameters at substations delivering power to both an unbalanced and balanced feeder. We show that for an unbalanced grid, it is possible to estimate the Thevenin parameters at each instant of time using only instantaneous phasor measurements. For balanced grids, we propose a method that is well-suited for online applications when the data is highly temporally-correlated over a short window of time. The effectiveness of the two methods is tested via simulation for two use-cases, one for monitoring voltage stability and the other for identifying cyber attackers Performing "Reconnaissance" in a distribution substation.

Emma Stewart - One of the best experts on this subject based on the ideXlab platform.

  • Online Thevenin Parameter Tracking Using Synchrophasor Data - eScholarship
    2017
    Co-Authors: Jamei, Ciaran Roberts, Alex Mceachern, Sean Peisert, Emma Stewart, Anna Scaglione, Chuck Mcparland
    Abstract:

    There is significant interest in smart grid analytics based on phasor measurement data. One application is estima- tion of the Thevenin equivalent model of the grid from local measurements. In this paper, we propose methods using phasor measurement data to track Thevenin parameters at substations delivering power to both an unbalanced and balanced feeder. We show that for an unbalanced grid, it is possible to estimate the Thevenin parameters at each instant of time using only instantaneous phasor measurements. For balanced grids, we propose a method that is well-suited for online applications when the data is highly temporally-correlated over a short window of time. The effectiveness of the two methods is tested via simulation for two use-cases, one for monitoring voltage stability and the other for identifying cyber attackers Performing Reconnaissance in a distribution substation.

  • Online Thevenin Parameter Tracking Using Synchrophasor Data
    Proceedings of the 2017 IEEE Power Engineering Society (PES) General Meeting (GM), 2017
    Co-Authors: Mahdi Jamei, Ciaran Roberts, Bronwyn H. Hall, Alex Mceachern, Manuel Trajtenberg, Adam Jaffe, Sean Peisert, Emma Stewart, Anna Scaglione, Chuck Mcparland
    Abstract:

    There is significant interest in smart grid analytics based on phasor measurement data. One application is estima- tion of the Thevenin equivalent model of the grid from local measurements. In this paper, we propose methods using phasor measurement data to track Thevenin parameters at substations delivering power to both an unbalanced and balanced feeder. We show that for an unbalanced grid, it is possible to estimate the Thevenin parameters at each instant of time using only instantaneous phasor measurements. For balanced grids, we propose a method that is well-suited for online applications when the data is highly temporally-correlated over a short window of time. The effectiveness of the two methods is tested via simulation for two use-cases, one for monitoring voltage stability and the other for identifying cyber attackers Performing "Reconnaissance" in a distribution substation.

Alex Mceachern - One of the best experts on this subject based on the ideXlab platform.

  • Online Thevenin Parameter Tracking Using Synchrophasor Data - eScholarship
    2017
    Co-Authors: Jamei, Ciaran Roberts, Alex Mceachern, Sean Peisert, Emma Stewart, Anna Scaglione, Chuck Mcparland
    Abstract:

    There is significant interest in smart grid analytics based on phasor measurement data. One application is estima- tion of the Thevenin equivalent model of the grid from local measurements. In this paper, we propose methods using phasor measurement data to track Thevenin parameters at substations delivering power to both an unbalanced and balanced feeder. We show that for an unbalanced grid, it is possible to estimate the Thevenin parameters at each instant of time using only instantaneous phasor measurements. For balanced grids, we propose a method that is well-suited for online applications when the data is highly temporally-correlated over a short window of time. The effectiveness of the two methods is tested via simulation for two use-cases, one for monitoring voltage stability and the other for identifying cyber attackers Performing Reconnaissance in a distribution substation.

  • Online Thevenin Parameter Tracking Using Synchrophasor Data
    Proceedings of the 2017 IEEE Power Engineering Society (PES) General Meeting (GM), 2017
    Co-Authors: Mahdi Jamei, Ciaran Roberts, Bronwyn H. Hall, Alex Mceachern, Manuel Trajtenberg, Adam Jaffe, Sean Peisert, Emma Stewart, Anna Scaglione, Chuck Mcparland
    Abstract:

    There is significant interest in smart grid analytics based on phasor measurement data. One application is estima- tion of the Thevenin equivalent model of the grid from local measurements. In this paper, we propose methods using phasor measurement data to track Thevenin parameters at substations delivering power to both an unbalanced and balanced feeder. We show that for an unbalanced grid, it is possible to estimate the Thevenin parameters at each instant of time using only instantaneous phasor measurements. For balanced grids, we propose a method that is well-suited for online applications when the data is highly temporally-correlated over a short window of time. The effectiveness of the two methods is tested via simulation for two use-cases, one for monitoring voltage stability and the other for identifying cyber attackers Performing "Reconnaissance" in a distribution substation.