activity
20182023
most citedThe Value of Including Unimodality Information in Distributionally Robust Optimal Power Flow

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2023★ 1 cited

GPU-Accelerated Sequential Quadratic Programming Algorithm for Solving ACOPF

Bowen Li, Michel Schanen, Kibaek Kim

Sequential quadratic programming (SQP) is widely used in solving nonlinear optimization problem, with advantages of warm-starting solutions, as well as finding high-accurate soluti…

math.OC2023

Polytopic Superset Algorithm for Nonlinear Robust Optimization

Bowen Li, Kibaek Kim, Sven Leyffer

Nonlinear robust optimization (NRO) is widely used in different applications, including energy, control, and economics, to make robust decisions under uncertainty. One of the class…

math.OC2019★ 1 cited

Balancibility: Existence and Uniqueness of Power Flow Solutions under Voltage Balance Requirements

Bowen Li, Bai Cui, Feng Qiu +1

In distribution systems, power injection variability due to growing penetrations of distributed energy resources (DERs) and dispatchable loads can lead to power quality issues such…

math.OC2018★ 3 cited

The Value of Including Unimodality Information in Distributionally Robust Optimal Power Flow

Bowen Li, Ruiwei Jiang, Johanna L. Mathieu

To manage renewable generation and load consumption uncertainty, chance-constrained optimal power flow (OPF) formulations and various solution methodologies have been proposed. How…

math.OC2018★ 1 cited

Distributionally Robust Chance Constrained Optimal Power Flow Assuming Unimodal Distributions with Misspecified Modes

Bowen Li, Ruiwei Jiang, Johanna L. Mathieu

Chance constrained optimal power flow (CC-OPF) formulations have been proposed to minimize operational costs while controlling the risk arising from uncertainties like renewable ge…