Simulation and Postmortem Analysis of Angeles Forest Disturbance Event

Samanta, Sayan; Ray Chaudhuri, Nilanjan; Debnath, Suman; Piper, David

doi:10.1109/ISGT50606.2022.9900243

Title: Simulation and Postmortem Analysis of Angeles Forest Disturbance Event

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Abstract

Multiple unexpected solar photovoltaic (PV) plant responses in the California region following contingencies in recent years warrant postmortem analysis leveraging digital fault recorder (DFR) data for a better understanding of such events and preventing similar events in the future. Most utilities in US, in general, possess transient stability (TS) phasor-domain models of the power grid. Since traditional phasor-based transient stability planning models cannot perform such analysis, this paper presents an approach to extract a region of such models and convert it to Electromagnetic transient (EMT) models. The approach is based on the determination of the minimum impedance-weighted spanning tree between the fault location and affected PV plants in a Western Electricity Coordinating Council (WECC) planning model followed by conversion of this region into an EMT model. The accuracy of the proposed approach is validated against DFR records obtained from the 2018 Angeles Forest disturbance event.

Authors:

Samanta, Sayan ^[1]; Ray Chaudhuri, Nilanjan ^[1];

^[2]; Piper, David ^[3]

Pennsylvania State University
ORNL
Southern California Edison (SCE)

Publication Date:: 2022-04-01

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

OSTI Identifier:: 1890343

DOE Contract Number:: AC05-00OR22725

Resource Type:: Conference

Resource Relation:: Conference: IEEE Power and Energy Society Innovative Smart Grid Technologies Conference (ISGT) - Virtual, Tennessee, United States of America - 4/24/2022 12:00:00 PM-4/28/2022 4:00:00 AM

Country of Publication:: United States

Language:: English

Citation Formats


                    Samanta, Sayan, Ray Chaudhuri, Nilanjan, Debnath, Suman, and Piper, David. Simulation and Postmortem Analysis of Angeles Forest Disturbance Event.  United States: N. p., 2022. 
        Web.  doi:10.1109/ISGT50606.2022.9900243.

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                    Samanta, Sayan, Ray Chaudhuri, Nilanjan, Debnath, Suman, & Piper, David. Simulation and Postmortem Analysis of Angeles Forest Disturbance Event.  United States.  https://doi.org/10.1109/ISGT50606.2022.9900243

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                    Samanta, Sayan, Ray Chaudhuri, Nilanjan, Debnath, Suman, and Piper, David. 2022.  
        "Simulation and Postmortem Analysis of Angeles Forest Disturbance Event".  United States.  https://doi.org/10.1109/ISGT50606.2022.9900243.  https://www.osti.gov/servlets/purl/1890343.

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@article{osti_1890343,

  title        = {Simulation and Postmortem Analysis of Angeles Forest Disturbance Event},

  author       = {Samanta, Sayan and Ray Chaudhuri, Nilanjan and Debnath, Suman and Piper, David},

  abstractNote = {Multiple unexpected solar photovoltaic (PV) plant responses in the California region following contingencies in recent years warrant postmortem analysis leveraging digital fault recorder (DFR) data for a better understanding of such events and preventing similar events in the future. Most utilities in US, in general, possess transient stability (TS) phasor-domain models of the power grid. Since traditional phasor-based transient stability planning models cannot perform such analysis, this paper presents an approach to extract a region of such models and convert it to Electromagnetic transient (EMT) models. The approach is based on the determination of the minimum impedance-weighted spanning tree between the fault location and affected PV plants in a Western Electricity Coordinating Council (WECC) planning model followed by conversion of this region into an EMT model. The accuracy of the proposed approach is validated against DFR records obtained from the 2018 Angeles Forest disturbance event.},

  doi          = {10.1109/ISGT50606.2022.9900243},

  url          = {https://www.osti.gov/biblio/1890343},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2022},

  month        = {4}

}

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https://doi.org/10.1109/ISGT50606.2022.9900243

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