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Models ~ phaseId

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David Pinney edited this page Sep 10, 2020 · 15 revisions

Overview

Meter phases can change due to transformer maintenance and load balancing. If the phase changes aren't recorded correctly, it makes future load balancing difficult. This model identifies the true phase of AMI meters based on voltage correlation with the substation. While power line carrier meter reading systems can typically identify meter phase automatically, radio frequency meter reading systems, which are now being widely deployed, cannot.

You can create and run a new instance of the model via our web interface here: http://omf.coop/newModel/phaseId/fromWiki

The model is based on code and results developed by Jeremy Keen. Those results are expansions of earlier results by Tom Short [Short].

We have validated this model against a meter dataset collected from an African utility, and a set of synthetic meter readings generated from GridLAB-D and the PNNL Taxonomic Feeders augmented with an NREL AMI meter data set. In each case, the model identified 100% of true phases on meters whose labels were changed as part of the test.

Presence of Solar

Large amounts of distributed solar generation could interfere with this technique. It might be possible to correct for that by zero'ing out the meter readings for the daylight hours and only running the model during times with zero solar output. There has also been some work on alternative approaches by [Padullaparti et al.].

Input Format

The model requires two main inputs files:

  1. A .csv file with substation voltage reads for each phase. Each reading must be identified by an ISO 8601 timestamp. For an example of the format, please see this example substation input.

  2. A .csv file with readings from each AMI meter whose true phase you want to identify. The first column should contain timestamps matching those in the substation input file. Each meter should be represented by 3 columns, one for each phase where readings are available, with column name "[meter_name]-V_[x]" where [meter_name] is a name or ID for the meter and [x] is the phase (A, B, or C). For an example of the format, please see this example AMI input.

Model Outputs

A confusion matrix, showing any meters whose label did not match the predicted true phase in the off-diagonal entries:

A list of all meters with their input phases and identified true phases:

A detailed plot of all voltages for the "AMI check meter" identified in the inputs and each of the substation per-phase voltage. This allows for visual inspection of the results for specific meters to verify the correlation:

References

[Short] Short, Tom. (2013). Advanced Metering for Phase Identification, Transformer Identification, and Secondary Modeling. IEEE Transactions on Smart Grid. 4. 651-8. 10.1109/TSG.2012.2219081.

[Padullaparti et al.]. Padullaparti, Harsha, Santosh Veda, Surya Dhulipala, Murali Baggu, Tom Bialek, and Martha Symko-Davies. 2019. Considerations for AMI-Based Operations for Distribution Feeders: Preprint. Golden, CO: National Renewable Energy Laboratory. NREL/CP-5D00-72773.

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