Name
Abstract | ||
|---|---|---|
This paper proposes a voltage stability-constrained optimal power flow (VSC-OPF) model based on semidefinite programming (SDP) relaxation. The minimum singular value of the power flow Jacobian is used as a steady-state voltage stability index, which is incorporated into the SDP formulation. To model an ADP constraint for voltage stability, an auxiliary matrix based on the power flow Jacobian is constructed, and this auxiliary matrix can be reformulated as a function of the semidefinite variable matrix defined for SDP relaxation. The resulting SDP-based VSC-OPF model is formulated and solved via the solver SDPT3 and the toolbox YALMIP. Extensive simulations on IEEE test systems validate the effectiveness of the proposed model. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSG.2018.2866068 | IEEE TRANSACTIONS ON SMART GRID |
Keywords | Field | DocType |
Optimal power flow, semidefinite programming, voltage stability | Voltage stability,Singular value,Jacobian matrix and determinant,Matrix (mathematics),Control theory,Voltage,Control engineering,Engineering,Solver,Steady state,Semidefinite programming | Journal |
Volume | Issue | ISSN |
10 | 4 | 1949-3053 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chong Wang | 1 | 2 | 1.31 |
| Bai Cui | 2 | 1 | 1.72 |
| Zhaoyu Wang | 3 | 59 | 15.73 |
| Chenghong Gu | 4 | 4 | 7.82 |