Alternating Current Optimal Power Flow with Generator Selection
Overview & Synopsis
We investigate a mixed-integer variant of the alternating current optimal flow problem. The binary variables activate and deactivate power generators installed at a subset of nodes of the electrical grid. We propose some formulations and a mixed-integer semidefinite programming relaxation, from which we derive two mixed-integer diagonally dominant programming approximation (inner and outer, the latter providing a relaxation). We discuss dimensionality reduction methods to extract solution vectors from solution matrices, and present some computational results showing how both our approximations provide tight bounds.
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hal.science)
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Document Information
| Document Title | Alternating Current Optimal Power Flow with Generator Selection |
|---|---|
| Author / Organization | Esteban Salgado, Andrea Scozzari, Fabio Tardella, Leo Liberti |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2018 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-181921 |
| Original Source Link | Visit Source Page on hal.science » |