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...
| 出版年: | Open Journal of Mathematical Optimization |
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| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Université de Montpellier
2022-11-01
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| 主題: | |
| オンライン･アクセス: | https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.17/ |
| _version_ | 1849475186016911360 |
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| author | Oustry, Antoine |
| author_facet | Oustry, Antoine |
| author_sort | Oustry, Antoine |
| collection | DOAJ |
| container_title | Open Journal of Mathematical Optimization |
| description | 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. |
| format | Article |
| id | doaj-art-dd4e88b76ab84e73af072ca7ba0fdb0f |
| institution | Directory of Open Access Journals |
| issn | 2777-5860 |
| language | English |
| publishDate | 2022-11-01 |
| publisher | Université de Montpellier |
| record_format | Article |
| spelling | doaj-art-dd4e88b76ab84e73af072ca7ba0fdb0f2025-08-20T03:15:44ZengUniversité de MontpellierOpen Journal of Mathematical Optimization2777-58602022-11-01311910.5802/ojmo.1710.5802/ojmo.17AC Optimal Power Flow: a Conic Programming relaxation and an iterative MILP scheme for Global OptimizationOustry, Antoine0Ecole des Ponts, Marne-La-Vallée, France; LIX CNRS, Ecole polytechnique, Institut Polytechnique de Paris, Palaiseau, FranceWe 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.https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.17/ACOPFGlobal OptimizationSemidefinite ProgrammingMixed-Integer Linear Programming |
| spellingShingle | Oustry, Antoine AC Optimal Power Flow: a Conic Programming relaxation and an iterative MILP scheme for Global Optimization ACOPF Global Optimization Semidefinite Programming Mixed-Integer Linear Programming |
| title | AC Optimal Power Flow: a Conic Programming relaxation and an iterative MILP scheme for Global Optimization |
| title_full | AC Optimal Power Flow: a Conic Programming relaxation and an iterative MILP scheme for Global Optimization |
| title_fullStr | AC Optimal Power Flow: a Conic Programming relaxation and an iterative MILP scheme for Global Optimization |
| title_full_unstemmed | AC Optimal Power Flow: a Conic Programming relaxation and an iterative MILP scheme for Global Optimization |
| title_short | AC Optimal Power Flow: a Conic Programming relaxation and an iterative MILP scheme for Global Optimization |
| title_sort | ac optimal power flow a conic programming relaxation and an iterative milp scheme for global optimization |
| topic | ACOPF Global Optimization Semidefinite Programming Mixed-Integer Linear Programming |
| url | https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.17/ |
| work_keys_str_mv | AT oustryantoine acoptimalpowerflowaconicprogrammingrelaxationandaniterativemilpschemeforglobaloptimization |