13 papers
Dynamic Line Ratings Counteract Transmission Investment Needs Driven by Climate Change
Megan Jones, Vladimir Dvorkin, Michael Craig
Rising temperatures due to climate change will reduce power system transmission capacity. This reduction will interact with an ongoing shift from static to time-varying transmissio…
Differentially Private Obfuscation of Power Grid Dynamics
Shengyang Wu, Vladimir Dvorkin
Dynamic models of power systems are critical for analyzing grid response to disturbances and blackouts, but the release of real-world dynamic models is hindered by privacy and cybe…
OpenG2G: A Simulation Platform for AI Datacenter-Grid Runtime Coordination
Jae-Won Chung, Zhirui Liang, Yanyong Mao +3
AI's growing compute demand and new datacenter buildouts present major capacity and reliability challenges for the electricity grid, leading to multi-year interconnection delays fo…
Economic Valuation and Optimal Deployment of Static Synchronous Series Compensators for U.S. Power System Expansion
Wei Ai, Vladimir Dvorkin, Michael T. Craig
Flexible AC Transmission Systems (FACTS), particularly Static Synchronous Series Compensators (SSSC), can improve network transfer capability and complement restricted transmission…
Online Feedback Optimization of Energy Storage to Smooth Data Center Grid Impacts
Yanyong Mao, Johanna L. Mathieu, Vladimir Dvorkin
The growing electricity demand of AI data centers introduces significant voltage variability in power networks, affecting not only their own operation but also the experience of al…
GPU-to-Grid: Voltage Regulation via GPU Utilization Control
Zhirui Liang, Jae-Won Chung, Mosharaf Chowdhury +2
While the rapid expansion of data centers poses challenges for power grids, it also offers new opportunities as flexible loads. Existing power system research often abstracts data…
Outage Identification from Electricity Market Data: Quickest Change Detection Approach
Milad Hoseinpour, Shubhanshu Shekhar, Vladimir Dvorkin
Power system outages expose market participants to significant financial risk unless promptly detected and hedged. We develop an outage identification method from public market sig…
Probabilistic Dynamic Line Rating with Line Graph Convolutional LSTM
Minsoo Kim, Vladimir Dvorkin, Jip Kim
Dynamic line rating (DLR) is an effective approach to enhancing the utilization of existing transmission line infrastructure by adapting line ratings according to real-time weather…
DiffOPF: Diffusion Solver for Optimal Power Flow
Milad Hoseinpour, Vladimir Dvorkin
The optimal power flow (OPF) is a multi-valued, non-convex mapping from loads to dispatch setpoints. The variability of system parameters (e.g., admittances, topology) further cont…
Constrained Diffusion Models for Synthesizing Representative Power Flow Datasets
Milad Hoseinpour, Vladimir Dvorkin
High-quality power flow datasets are essential for training machine learning models in power systems. However, security and privacy concerns restrict access to real-world data, mak…
Synthesizing Grid Data with Cyber Resilience and Privacy Guarantees
Shengyang Wu, Vladimir Dvorkin
Differential privacy (DP) provides a principled approach to synthesizing data (e.g., loads) from real-world power systems while limiting the exposure of sensitive information. Howe…
Probabilistic Dynamic Line Rating Forecasting with Line Graph Convolutional LSTM
Minsoo Kim, Vladimir Dvorkin, Jip Kim
Dynamic line rating (DLR) is a promising solution to increase the utilization of transmission lines by adjusting ratings based on real-time weather conditions. Accurate DLR forecas…
Agent Coordination via Contextual Regression (AgentCONCUR) for Data Center Flexibility
Vladimir Dvorkin
A network of spatially distributed data centers can provide operational flexibility to power systems by shifting computing tasks among electrically remote locations. However, harne…