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arxiv: 2504.06588 · v2 · submitted 2025-04-09 · 📡 eess.SY · cs.SY

Synchrophasors and Synchrowaveforms for the Distribution Grid: The SoCal 28-Bus Dataset

Yiheng Xie , Lucien Werner , Kaibo Chen , Thuy-Linh Le , Christine Ortega , Steven Low This is my paper

Pith reviewed 2026-05-22 21:11 UTC · model grok-4.3

classification 📡 eess.SY cs.SY
keywords distribution gridPMUsynchrophasorwaveform measurementdatasetstate estimationpower system datareal-world measurements
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0 comments X

The pith

A densely instrumented 28-bus real distribution grid supplies open synchronized phasor and waveform data from every bus with power injection.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper releases an open-access dataset of phasor and waveform measurements collected from a real 28-bus electrical distribution network in Southern California. The network features mixed generation including solar and fuel cells, varied loads such as EV charging and data centers, and topology changes, all captured with sensors at every bus that has non-zero power injection. The dataset includes both phasor data for steady-state analysis and synchronized waveforms for transients and harmonics, along with circuit topology, parameters, and ongoing measurements that began in 2023. This setup supports development and testing of methods for state estimation, system identification, power flow optimization, and feedback control using actual grid recordings rather than simulations. A characterization of measurement error is also provided to aid users of the data.

Core claim

The authors supply an open dataset of synchronized phasor and waveform measurements from a real-world 28-bus distribution grid that includes diverse generation resources, loads, and topology changes. Every bus with non-zero power injection is equipped with a sensor, and the collection includes circuit models and error characterizations. The data supports a range of grid applications including state estimation, system identification, power flow optimization, and feedback control.

What carries the argument

The densely deployed PMU and WMU sensor network covering all buses with non-zero power injections on the 28-bus SoCal distribution grid.

If this is right

  • State estimation algorithms can be tested directly against real synchronized measurements from a live network.
  • Power flow optimization and system identification methods can be validated using actual topology changes and injection patterns.
  • Feedback control designs can be developed and evaluated with continuous real-time data streams.
  • Waveform analysis of harmonics, transients, and dynamic impedance becomes possible on recorded distribution events.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The dataset could serve as a public benchmark for comparing simulation models against recorded behavior.
  • It opens the possibility of training data-driven controllers that generalize across topology changes observed in the recordings.
  • Future work could extend the same dense measurement approach to larger or differently configured distribution systems.

Load-bearing premise

The sensor measurements accurately capture grid behavior including transients and harmonics, and the placement covers every relevant injection point.

What would settle it

Demonstration that the released measurements contain large uncharacterized errors or miss documented grid events despite the claimed sensor coverage.

Figures

Figures reproduced from arXiv: 2504.06588 by Christine Ortega, Kaibo Chen, Lucien Werner, Steven Low, Thuy-Linh Le, Yiheng Xie.

Figure 1
Figure 1. Figure 1: A summary of power systems metering approaches [7], [8]. WAMS: Wide Area Measurement System. PMUs: Phasor Measurement Units. SCADA: [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Three-phase voltage and current injection waveform measurement at [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 4
Figure 4. Figure 4: An sub-circuit of this dataset. Zero-impedance elements are removed in plotting. Tie breakers are open during normal operating conditions. [PITH_FULL_IMAGE:figures/full_fig_p004_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Left: a meter box including voltage connections (3-phase 4-wire), [PITH_FULL_IMAGE:figures/full_fig_p004_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Cyber-physical infrastructure for data collection, processing, analysis, and hosting. [PITH_FULL_IMAGE:figures/full_fig_p005_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Synchronization test setup. 1.0 0.5 0.0 0.5 1.0 d = ²1 ¡ ²2 (degree) 0 200 400 Count [PITH_FULL_IMAGE:figures/full_fig_p006_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Synchronization error distribution. The repeated measurements for d are shown in [PITH_FULL_IMAGE:figures/full_fig_p006_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Distribution line model (3-phase, 3-wire). [PITH_FULL_IMAGE:figures/full_fig_p006_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Delta-Wye transformer model. The line and transformer models above can each be uniquely characterized by 4 parameters: (y s jk, ys kj , ym jk, ym kj ), which are the series admittance in the j → k direction, the series admittance in the k → j direction, the sending end shunt admittance, and the receiving end shunt admittance. These 4 parameters offer a unified description of edge components in a graph. Fo… view at source ↗
Figure 11
Figure 11. Figure 11: Three-phase (inductive) line model. Now consider a network of such lines. Denote the node-by￾line incidence matrix as C ∈ {0, ±1} n×m. The relationship between line voltage drop vl ∈ R 3m and nodal voltages vb ∈ R 3n obey Kirchhoff’s voltage law (7a). Similarly, line currents il ∈ R 3m and nodal current injections ib ∈ R 3n obey Kirchhoff’s current law (7b):3 vl = [PITH_FULL_IMAGE:figures/full_fig_p007_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: Bus 1033 voltage phasor. where Vˆ 1,Vˆ 2 are the nodal voltages for nodes with and without voltage measurements, and I is the identity matrix of the appropriate size. The least-squares problem may be additionally weighted by measurement error statistics or measurement magnitudes. We show the state estimation result on the A-side circuit in [PITH_FULL_IMAGE:figures/full_fig_p008_12.png] view at source ↗
read the original abstract

We provide an open-access dataset of phasor & waveform measurement units (PMUs/WMUs) of a real-world electrical distribution network. The network consists of diverse sets of generation resources (including solar panels, fuel cells, natural gas generators, and utility interconnections), loads (including large-scale electric vehicle charging, data centers, central cooling, offices), topology changes (such as line outages and load transfers), as well as a mixture of single- and three-phase networks. We describe a densely deployed PMU sensor network in a distribution grid, in which all buses with non-zero power injections are measured. This approach enables a range of applications such as state estimation, system identification, power flow optimization, and feedback control, several of which are discussed in this paper. Additionally, we provide a synchronized waveform dataset which allows the analysis of harmonics, transient events, dynamic grid impedance, and stability. Data collection started in 2023 while new data is generated continuously and made available online. A characterization of measurement error is provided. Finally, we provide circuit topology and parameters as a part of the dataset. Together, the circuit and timeseries data offer an opportunity for researchers to develop and test algorithms on a real-world system.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. The manuscript presents an open-access dataset of synchronized phasor (PMU) and waveform (WMU) measurements collected from a real 28-bus distribution grid in Southern California. The network includes mixed generation (solar, fuel cells, natural gas, utility ties), loads (EV charging, data centers, cooling), topology changes, and single/three-phase elements. All buses with non-zero injections are instrumented; the release also supplies circuit topology/parameters, measurement error characterization, and continuous waveform data for harmonics/transients. Data collection began in 2023 and is ongoing. The stated purpose is to support state estimation, system identification, power-flow optimization, and feedback control studies.

Significance. If the dataset matches the described coverage, error bounds, and public availability, the contribution is a useful benchmark resource for distribution-grid research. High-resolution, real-world phasor and waveform data with dense injection-bus coverage and topology metadata remain scarce; the inclusion of topology changes and transient waveforms directly enables validation of algorithms that are otherwise tested only on simulated systems.

minor comments (3)
  1. Abstract and §1: the statement that 'all buses with non-zero power injections are measured' would be strengthened by an explicit count or table (e.g., number of instrumented buses versus total buses) so readers can immediately verify coverage density.
  2. The error-characterization section would benefit from a brief statement of the reference instrument or comparison method used to obtain the reported error statistics.
  3. Figure captions and file-naming conventions should be cross-checked for consistency with the actual directory structure of the released dataset.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive assessment of the manuscript and for recommending acceptance. We appreciate the recognition that the dataset provides a valuable benchmark resource for distribution-grid research.

Circularity Check

0 steps flagged

No significant circularity; pure data release with no derivations

full rationale

The paper is a descriptive release of an open-access PMU/WMU dataset from a real-world 28-bus distribution grid, including topology, error characterization, and waveform data. No derivation chain, predictions, fitted parameters, or first-principles results are claimed. The central contribution is the sensor deployment and data files themselves, which are externally verifiable and do not reduce to any internal self-definition, self-citation, or ansatz. Applications such as state estimation are mentioned as enabled uses but not derived or predicted within the paper.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

No mathematical model, derivation, or fitted parameters; the paper is a data release describing sensor deployment and collection.

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