Name
Abstract | ||
|---|---|---|
To deal with the increasing penetration of uncertainties caused by renewable generations and uncertain loads, this paper proposes a novel robust optimization model for the optimal power flow (OPF) problem of power systems. In the model proposed, the generation and the network topology are co-optimized, and then the proposed robust optimal power flow with transmission switching (ROPF_TS) model is converted to be a two-stage mixed-integer optimization model based on the duality theory. Based on Benders decomposition, the model is decomposed into a master problem and a slave problem, the master problem corresponds to the resolution of the deterministic optimal power flow with transmission switching problem under base-point mode, the slave problem corresponds to the robust optimal power flow with the given network topology, and then the feasible domain of the master problem is restrained by the Benders cuts developed by the slave problem. Finally, Example analyses are conducted to verify the validity of the proposed model and its solution methodology. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/IECON.2017.8216074 | IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society |
Keywords | Field | DocType |
optimal power flow (OPF),transmission switching,robust optimization,benders' decomposition,interval uncertainty | Renewable energy,Power flow,Robust optimization,Control theory,Duality (mathematics),Electric power system,Network topology,Robustness (computer science),Electric power transmission,Engineering | Conference |
ISSN | ISBN | Citations |
1553-572X | 978-1-5386-1128-9 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Donglei Sun | 1 | 0 | 1.01 |
| X. Liu | 2 | 276 | 50.30 |
| Wang Yiqun | 3 | 226 | 17.63 |
| Bo Yang | 4 | 194 | 53.08 |
| Jinhong Yang | 5 | 8 | 3.80 |