@INPROCEEDINGS{azzolini_calculating_2023,
author={Azzolini, Joseph A. and Reno, Matthew J. and Yusuf, Jubair and Talkington, Samuel and Grijalva, Santiago},
booktitle={2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)},
title={{Calculating PV Hosting Capacity in Low-Voltage Secondary Networks Using Only Smart Meter Data}},
year={2023},
volume={},
number={},
pages={1-5},
doi={10.1109/ISGT51731.2023.10066372}
}Residential solar photovoltaic (PV) systems are interconnected with the distribution grid at low-voltage secondary network locations. However, computational models of these networks are often over-simplified or non-existent, which makes it challenging to determine the operational impacts of new PV installations at those locations. In this work, a model-free locational hosting capacity analysis algorithm is proposed that requires only smart meter measurements at a given location to calculate the maximum PV size that can be accommodated without exceeding voltage constraints. The proposed algorithm was evaluated on two different smart meter datasets measuring over 2,700 total customer locations and was compared against results obtained from conventional model-based methods for the same smart meter datasets. Compared to the model-based results, the model-free algorithm had a mean absolute error (MAE) of less than 0.30 kW, was equally sensitive to measurement noise, and required much less computation time.
Error Bounds for Radial Network Topology Learning from Quantized Measurements
Samuel Talkington, Aditya Rangarajan, Pedro A. de Alcântara, Line Roald, Daniel K. Molzahn, and Daniel R. Fuhrmann
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) / arXiv / 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
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 / 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 / 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) / 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) / 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
Rail Transit Regenerative Braking Energy Recovery Optimization to Provide Grid Services
Samuel Talkington, Santiago Grijalva
IEEE Power and Energy Conference at Illinois (PECI) / bibTeX