4 citations · 9 across the 16 of their papers we have counts for
19 papers · 1 filter
Optimal Power Flow Schedules with Reduced Low-Frequency Oscillations
Manish K. Singh, Vassilis Kekatos
The dynamic response of power grids to small events or persistent stochastic disturbances influences their stable operation. Low-frequency inter-area oscillations are of particular…
Efficient Topology Design Algorithms for Power Grid Stability
Siddharth Bhela, Harsha Nagarajan, Deepjyoti Deka +1
The dynamic response of power grids to small disturbances influences their overall stability. This paper examines the effect of network topology on the linearized time-invariant dy…
Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints
Sarthak Gupta, Vassilis Kekatos, Ming Jin
Aiming for the median solution between cyber-intensive optimal power flow (OPF) solutions and subpar local control, this work advocates deciding inverter injection setpoints using…
Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks
Manish K. Singh, Sarthak Gupta, Vassilis Kekatos +2
Deep learning for distribution grid optimization can be advocated as a promising solution for near-optimal yet timely inverter dispatch. The principle is to train a deep neural net…
An MILP Approach for Distribution Grid Topology Identification using Inverter Probing
Sina Taheri, Vassilis Kekatos, Guido Cavraro
Although knowing the feeder topology and line impedances is a prerequisite for solving any grid optimization task, utilities oftentimes have limited or outdated information on thei…
Fast Probabilistic Hosting Capacity Analysis for Active Distribution Systems
Sina Taheri, Mana Jalali, Vassilis Kekatos +1
Interconnection studies for distributed energy resources (DERs) can currently take months since they entail simulating a large number of power flow scenarios. If DERs are to be act…