Abstract | ||
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Many steady-state problems in power systems, including rectangular power-voltage formulations of optimal power flows in the alternating-current model, can be cast as polynomial optimization problems (POP). For a POP, one can derive strong convex relaxations, or rather hierarchies of increasingly strong, but increasingly computationally challenging convex relaxations. We study means of switching fr... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TSG.2017.2715282 | IEEE Transactions on Smart Grid |
Keywords | Field | DocType |
Newton method,Convergence,Optimization,Radio frequency,Computational modeling,Switches,Memory management | Convergence (routing),Mathematical optimization,Lagrangian,Electric power system,Radio frequency,Regular polygon,Memory management,Alternating current,Mathematics,Newton's method | Journal |
Volume | Issue | ISSN |
8 | 6 | 1949-3053 |
Citations | PageRank | References |
3 | 0.37 | 19 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jie Liu | 1 | 105 | 43.72 |
Alan C. Liddell Jr. | 2 | 18 | 2.88 |
Jakub Marecek | 3 | 134 | 15.10 |
Martin Takác | 4 | 752 | 49.49 |