4 citations · 4 across the 2 of their papers we have counts for
5 papers
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…
Moving horizon-based optimal scheduling of EV charging: A power system-cognizant approach
Nitasha Sahani, Manish Kumar Singh, Chen-Ching Liu
The rapid escalation in plug-in electric vehicles (PEVs) and their uncoordinated charging patterns pose several challenges in distribution system operation. Some of the undesirable…
Joint Grid Topology Reconfiguration and Design of Watt-VAR Curves for DERs
Manish K. Singh, Sina Taheri, Vassilis Kekatos +2
Operators can now remotely control switches and update the control settings for voltage regulators and distributed energy resources (DERs), thus unleashing the network reconfigurat…
Natural Gas Flow Solvers using Convex Relaxation
Manish Kumar Singh, Vassilis Kekatos
The vast infrastructure development, gas flow dynamics, and complex interdependence of gas with electric power networks call for advanced computational tools. Solving the equations…
Optimal Distribution System Restoration with Microgrids and Distributed Generators
Manish Kumar Singh, Vassilis Kekatos, Chen-Ching Liu
Increasing emphasis on reliability and resiliency call for advanced distribution system restoration (DSR). The integration of grid sensors, remote controls, and distributed generat…