Advanced Sensor Deployment for Distribution System State Estimation and Fault Identification: Preprint

Priti Paudyal, Kumar Utkarsh, Santosh Veda, Amir Cohen, Eyal Miron

Research output: Contribution to conferencePaper


Distribution systems are currently facing steep operational challenges as a result of the rapidly increasing integration of renewables and other distributed energy resources (DERs)at both the primary and secondary circuit levels. Distribution utilities and system operators have traditionally had some visibility of their primary circuits using low-frequency supervisory control and data acquisition systems, and they have had very poor if not zero visibility of the secondary circuits where the presence of DERs is constantly increasing. Therefore, this paper presents simulation studies to demonstrate the benefits of an advanced, high-fidelity sensor technology, called as the Meta-Alert System (MAS), developed by Electrical Grid Monitoring Ltd. (EGM), on the distribution grid. First, a reliable model of the EGM sensors is developed, and then two use cases - distribution system state estimation (DSSE) and fault identification - are simulated to evaluate the performance of the MAS technology. Simulation results on the Electric Power Research Institute J1feeder demonstrate that the MAS can effectively participate in system-level DSSE programs and can detect and locate faults faster than traditional distribution protection schemes.
Original languageAmerican English
Number of pages8
StatePublished - 2022
EventIEEE PES Innovative Smart Grid Technologies Conference (ISGT NA) - New Orleans, Louisiana
Duration: 24 Apr 202228 Apr 2022


ConferenceIEEE PES Innovative Smart Grid Technologies Conference (ISGT NA)
CityNew Orleans, Louisiana

Bibliographical note

See NREL/CP-5D00-85176 for paper as published in proceedings

NREL Publication Number

  • NREL/CP-5D00-80844


  • distribution system monitoring
  • distribution system state estimation
  • fault identification


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