2 citations · 7 across the 15 of their papers we have counts for
6 papers · 1 filter
Physics-Informed Gradient Estimation for Accelerating Deep Learning based AC-OPF
Kejun Chen, Shourya Bose, Yu Zhang
The optimal power flow (OPF) problem can be rapidly and reliably solved by employing responsive online solvers based on neural networks. The dynamic nature of renewable energy gene…
Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality
Kejun Chen, Shourya Bose, Yu Zhang
Non-convex AC optimal power flow (AC-OPF) is a fundamental optimization problem in power system analysis. The computational complexity of conventional solvers is typically high and…
Co-optimization of Battery Routing and Load Restoration for Microgrids with Mobile Energy Storage Systems
Shourya Bose, Sifat Chowdhury, Yu Zhang
Mobile energy storage systems (MESS) offer great operational flexibility to enhance the resiliency of distribution systems in an emergency condition. The optimal placement and sizi…
Differentially Private Load Restoration for Microgrids with Distributed Energy Storage
Shourya Bose, Yu Zhang
Distributed energy storage systems (ESSs) can be efficiently leveraged for load restoration (LR) for a microgrid (MG) in island mode. When the ESSs are owned by third parties rathe…
Load Restoration in Islanded Microgrids: Formulation and Solution Strategies
Shourya Bose, Yu Zhang
Adverse circumstances such as extreme weather events can cause significant disruptions to normal operation of electric distribution systems (DS), which includes isolating parts of…
Control Under Action-Dependent Markov Packet Drops: An Event-Triggered Approach
Shourya Bose, Pavankumar Tallapragada
In this paper, we consider the problem of second moment stabilization of a scalar linear plant with process noise. We assume that the sensor must communicate with the controller ov…