740 citations · 2.1k across the 64 of their papers we have counts for
24 papers · 1 filter
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…
Constrained Reinforcement Learning for Predictive Control in Real-Time Stochastic Dynamic Optimal Power Flow
Tong Wu, Anna Scaglione, Daniel Arnold
Deep Reinforcement Learning (DRL) has become a popular method for solving control problems in power systems. Conventional DRL encourages the agent to explore various policies encod…
Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms
Tong Wu, Ignacio Losada Carreno, Anna Scaglione +1
This paper proposes a model-free Volt-VAR control (VVC) algorithm via the spatio-temporal graph ConvNet-based deep reinforcement learning (STGCN-DRL) framework, whose goal is to co…
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…
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…