Statistical Behavior of Low-Amplitude Power System Point-on-Wave Measurements

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Abstract
The power grid is undergoing massive changes to ensure resiliency and reliability in a more decentralized world. Distributed energy resources are becoming a prominent source of generation, potentially leading to a lack of centralized generation sources. Due to these new behaviors and system topologies, it is important to install measurement devices that are 1) accurate and 2) self-aware of their measurement quality. In this paper, a residential-scale microgrid is used to generate voltage and current waveforms, captured by Verivolt and National Instruments measurement equipment. A least-squares approach is used to separate the “clean” signals from the noise. Gaussian mixture modeling is used to approximate noise distributions, and it is shown these higher-order distribution estimates are a better fit to voltage and current noise profiles than single-mode Gaussian estimates.
Funding Information
  • U.S. Department of Energy
  • Office of Electricity (DE-AC05-00OR22725)
  • U.S. Department of Energy
  • AI Initiative Project
  • Oak Ridge National Laboratory

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