AC Optimal Power Flow: a Conic Programming relaxation and an iterative MILP scheme for Global Optimization
We address the issue of computing a global minimizer of the AC Optimal Power Flow problem. We introduce valid inequalities to strengthen the Semidefinite Programming relaxation, yielding a novel Conic Programming relaxation. Leveraging these Conic Programming constraints, we dynamically generate Mix...
| Published in: | Open Journal of Mathematical Optimization |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Université de Montpellier
2022-11-01
|
| Subjects: | |
| Online Access: | https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.17/ |
| Summary: | We address the issue of computing a global minimizer of the AC Optimal Power Flow problem. We introduce valid inequalities to strengthen the Semidefinite Programming relaxation, yielding a novel Conic Programming relaxation. Leveraging these Conic Programming constraints, we dynamically generate Mixed-Integer Linear Programming (MILP) relaxations, whose solutions asymptotically converge to global minimizers of the AC Optimal Power Flow problem. We apply this iterative MILP scheme on the IEEE PES PGLib [2] benchmark and compare the results with two recent Global Optimization approaches. |
|---|---|
| ISSN: | 2777-5860 |