activity
20182023
most citedUnsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2023

On LinDistFlow Model Congestion Pricing: Bounding the Changes in Power Tariffs

Shourya Bose, Kejun Chen, Yu Zhang

The optimal power flow (OPF) problem is an important mathematical program that aims at obtaining the best operating point of an electric power grid. The optimization problem typica…

eess.SY2022★ 1 cited

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…

eess.SY2022

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…

eess.SY2022

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…

math.OC2018

Optimal Rotational Load Shedding via Bilinear Integer Programming

Atif Maqsood, Yu Zhang, Keith Corzine

This paper addresses the problem of managing rotational load shedding schedules for a power distribution network with multiple load zones. An integer optimization problem is formul…