25 citations · 45 across the 23 of their papers we have counts for
11 papers · 1 filter
Differentially Private Synthetic Voltage Phasor Release for Distribution Grids
Andrew Campbell, Chenyue Zhang, Anna Scaglione +3
Training machine learning models, including Grid Foundation Models (GFMs), requires large volumes of realistic grid data, yet substantial privacy concerns discourage utilities and…
Solar Photovoltaic Systems Metadata Inference and Differentially Private Publication
Nikhil Ravi, Anna Scaglione, Julieta Giraldez +3
Stakeholders in electricity delivery infrastructure are amassing data about their system demand, use, and operations. Still, they are reluctant to share them, as even sharing aggre…
Adaptive Control of Distributed Energy Resources for Distribution Grid Voltage Stability
Daniel Arnold, Shammya Saha, Sy-Toan Ngo +5
Volt-VAR and Volt-Watt functionality in photovoltaic (PV) smart inverters provide mechanisms to ensure system voltage magnitudes and power factors remain within acceptable limits.…
Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation
Daniel Arnold, Sy-Toan Ngo, Ciaran Roberts +3
Volt-VAR and Volt-Watt control functions are mechanisms that are included in distributed energy resource (DER) power electronic inverters to mitigate excessively high or low voltag…
SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation
Yize Chen, Yuanyuan Shi, Daniel Arnold +1
Fast and safe voltage regulation algorithms can serve as fundamental schemes for achieving a high level of renewable penetration in the modern distribution power grids. Faced with…
Understanding the Safety Requirements for Learning-based Power Systems Operations
Yize Chen, Daniel Arnold, Yuanyuan Shi +1
Recent advancements in machine learning and reinforcement learning have brought increased attention to their applicability in a range of decision-making tasks in the operations of…
Lyapunov Stability of Smart Inverters Using Linearized DistFlow Approximation
Shammya Shananda Saha, Daniel Arnold, Anna Scaglione +4
Fast-acting smart inverters that utilize preset operating conditions to determine real and reactive power injection/consumption can create voltage instabilities (over-voltage, volt…
Deep Reinforcement Learning for DER Cyber-Attack Mitigation
Ciaran Roberts, Sy-Toan Ngo, Alexandre Milesi +7
The increasing penetration of DER with smart-inverter functionality is set to transform the electrical distribution network from a passive system, with fixed injection/consumption,…
Low-Resolution Fault Localization Using Phasor Measurement Units with Community Detection
Mahdi Jamei, Anna Scaglione, Sean Peisert
A significant portion of the literature on fault localization assumes (more or less explicitly) that there are sufficient reliable measurements to guarantee that the system is obse…
Anomaly Detection Using Optimally-Placed Micro-PMU Sensors in Distribution Grids
Mahdi Jamei, Anna Scaglione, Ciaran Roberts +4
As the distribution grid moves toward a tightly-monitored network, it is important to automate the analysis of the enormous amount of data produced by the sensors to increase the o…
Automated Anomaly Detection in Distribution Grids Using PMU Measurements
Mahdi Jamei, Anna Scaglione, Ciaran Roberts +4
The impact of Phasor Measurement Units (PMUs) for providing situational awareness to transmission system operators has been widely documented. Micro-PMUs (PMUs) are an emerging…