@article{talkington2024localized,
title={{Localized Structure in Secondary Distribution System Voltage Sensitivity Matrices}},
author={Talkington, Samuel and Grijalva, Santiago and Reno, Matthew J. and Azzolini, Joseph A. and Peppanen, Jouni},
journal={Electric Power Systems Research},
volume={226},
pages={109788},
year={2024},
doi={10.1016/j.epsr.2023.109788}
}Secondary systems comprise the localized groups of nodes located downstream of low-voltage service transformers. Models of secondary electric power distribution systems are often unknown or unavailable, motivating the use of measurements to model them. This paper studies the structure of sensitivity matrices relating changes in nodal voltage magnitudes to changes in active and reactive power injections in distribution systems with multiple radial secondary systems. In such problem settings, we propose that voltage sensitivity matrices take on a block diagonal—or localized—structure. Each sensitivity submatrix represents a localized model of the secondary system, which allows each secondary to be modeled individually. This contrasts with feeders that only model the primary network, which admits dense voltage sensitivity matrices with rapidly decreasing singular values. We propose efficient algorithms that exploit the structure of secondary distribution networks for measurement-based modeling of distribution systems. Specifically, we show that this structure can provide speed and accuracy improvements in model-free hosting capacity and state estimation algorithms. Intuitive physical explanations and simulations using a test case with multiple secondary system topologies verify the proposed matrix structure.
Efficient Network Reconfiguration by Randomized Switching
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arXiv / code / bibTeX
Admittance Matrix Concentration Inequalities for Understanding Uncertain Power Networks
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arXiv / bibTeX
Differentiating Through Power Flow Solutions for Admittance and Topology Control
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arXiv / bibTeX
Optimizing State Estimation Error in the LinDist3Flow Model
Jeslyn Ero, Kieran Slattery, Xianhe Qin, Samuel Talkington, and Daniel K. Molzahn
IEEE Opportunity Research Scholars Symposium (ORSS) / bibTeX
Error Bounds for Radial Network Topology Learning from Quantized Measurements
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arXiv / bibTeX
VArsity: Can Large Language Models Keep Power Engineering Students in Phase?
Samuel Talkington and Daniel K. Molzahn
57th North American Power Symposium (NAPS 2025) / bibTeX
Covert Distribution Load Tripping Attacks
Betelihem Kebede Ashebo, Samuel Talkington, Saman Zonouz, and Daniel K. Molzahn
57th North American Power Symposium (NAPS 2025) / code / bibTeX
Classifying Reactive Power Control Laws of Behind-the-Meter Solar Photovoltaic Inverters
Richard Asiamah, Samuel Talkington, Michael Boateng, Marta Vanin, Frederik Geth, and Daniel K. Molzahn
Kansas Power and Energy Conference (KPEC) / bibTeX
Strategic Electric Distribution Network Sensing via Spectral Bandits
Samuel Talkington, Rahul Gupta, Richard Asiamah, Paprapee Buason, and Daniel K. Molzahn
IEEE CDC 2024 / arXiv / slides / bibTeX
A data-driven sensor placement approach for detecting voltage violations in distribution systems
Paprapee Buason, Sidhant Misra, Samuel Talkington, and Daniel K. Molzahn
Electric Power Systems Research / arXiv / bibTeX
Managing Vehicle Charging During Emergencies via Conservative Distribution System Modeling
Alejandro D. Owen Aquino, Samuel Talkington, and Daniel K. Molzahn
2024 IEEE Texas Power and Energy Conference (TPEC) / arXiv / bibTeX
Localized Structure in Secondary Distribution System Voltage Sensitivity Matrices
Samuel Talkington, Santiago Grijalva, Matthew J. Reno, Joseph A. Azzolini, and Jouni Peppanen
Electric Power Systems Research / bibTeX
A measurement-based approach to voltage-constrained hosting capacity analysis with controllable reactive power behind-the-meter
Samuel Talkington, Santiago Grijalva, Matthew J. Reno, Joseph A. Azzolini, David Pinney
Electric Power Systems Research / bibTeX
Phase Retrieval via Model-Free Power Flow Jacobian Recovery
Samuel Talkington, Santiago Grijalva
ACM e-Energy / arXiv / code / slides / bibTeX
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections
Samuel Talkington, Daniel Turizo, Santiago Grijalva, Jorge Fernandez, Daniel K. Molzahn
IEEE Transactions on Power Systems / arXiv / code / bibTeX
Calculating PV Hosting Capacity in Low-Voltage Secondary Networks Using Only Smart Meter Data
Joseph A. Azzolini, Matthew J. Reno, Jubair Yusuf, Samuel Talkington, Santiago Grijalva
IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) / code / bibTeX
Improving Behind-the-Meter PV Impact Studies with Data-Driven Modeling and Analysis
Joseph A. Azzolini, Samuel Talkington, Matthew J. Reno, Santiago Grijalva, Logan Blakely, David Pinney
IEEE 49th Photovoltaics Specialists Conference (PVSC) / code / bibTeX
Sparse Time-Series Sampling for Recovery of Behind-the-Meter Inverter Control Models
Samuel Talkington, Santiago Grijalva, and Matthew J. Reno
IEEE PES Innovative Smart Grid Technologies Conference (ISGT) / bibTeX
Solar PV Inverter Reactive Power Disaggregation and Control Setting Estimation
Samuel Talkington, Santiago Grijalva, Matthew J. Reno, Joseph A. Azzolini
IEEE Transactions on Power Systems / bibTeX
Recovering Power Factor Control Settings of Solar PV Inverters from Net Load Data
Samuel Talkington, Santiago Grijalva, Matthew J. Reno, Joseph A. Azzolini
North American Power Symposium (NAPS) / slides / bibTeX
Power Factor Estimation of Distributed Energy Resources Using Voltage Magnitude Measurements
Samuel Talkington, Santiago Grijalva, and Matthew J. Reno
Journal of Modern Power Systems and Clean Energy / bibTeX
Rail Transit Regenerative Braking Energy Recovery Optimization to Provide Grid Services
Samuel Talkington, Santiago Grijalva
IEEE Power and Energy Conference at Illinois (PECI) / bibTeX