5 citations · 11 across the 7 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
eess.SY2021
Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach
Ling Zhang, Baosen Zhang
Using deep neural networks to predict the solutions of AC optimal power flow (ACOPF) problems has been an active direction of research. However, because the ACOPF is nonconvex, it…
eess.SY2021
An Iterative Approach to Improving Solution Quality for AC Optimal Power Flow Problems
Ling Zhang, Baosen Zhang
The existence of multiple solutions to AC optimal power flow (ACOPF) problems has been noted for decades. Existing solvers are generally successful in finding local solutions, whic…
eess.SY2021
An Iterative Approach to Finding Global Solutions of AC Optimal Power Flow Problems
Ling Zhang, Baosen Zhang
The existence of multiple solutions to AC optimal power flow (ACOPF) problems has been noted for decades. Existing solvers are generally successful in finding local solutions, whic…