This project is applying advanced statistical data processing techniques to examine phasor measurements provided by the Bonneville Power Administration. It uses these techniques to identify trends in (or patterns involving) multiple phase angles or other measurements, which are difficult to identify using standard analysis approaches.
The objective of this work was to conduct a survey of existing tools that provide similar functionality to the DSI Toolbox. Pending a favorable review of that survey, then the PNNL team will pursue two primary activities for updating the DSI Toolbox.
This project is enhancing a spectral coherence algorithm to improve the detection of persistent oscillations in the power system in a manner that will provide better information on the characteristics of these oscillations to the end user. This phase of work will refine the approach by investigating new algorithms for the oscillation detection within the DISAT framework, as well as further investigating the use of the statistical quantities to aid in alarming.
This project is enhancing algorithms for use in a mode meter that will detect, analyze, and potentially help localize forced oscillations in a power system. It also supports BPA in conducting probing tests for modal analysis in the Western Interconnection.
This study addresses the potential use of phasor measurement units (PMUs) within electricity distribution systems, and was written to assess whether or not PMUs could provide significant benefit, at the national level. We analyze examples of present and emerging distribution-system issues related to reliability, integration of distributed energy resources, and the changing electrical characteristics of load. We find that PMUs offer important and irreplaceable advantages over present approaches.
The objective of this work was to extend the existing spectral coherence algorithm to improve the detection of persistent oscillations and provide more tractable information to the end user, in the form of daily summaries or outputs. Determining alarming techniques and thresholds, as well as integrating into the DISAT capabilities, we conducted the following work: