Thiswork revisits the semidefine programming (SDP) relaxation of the ac power flow equations in light of recent results illustrating the benefits of bounds propagation, valid inequalities, and the convex quadratic relaxation. By integrating all of these results into the SDPmodel a new hybrid relaxation is proposed, which combines the benefits fromall of these recent works. This strengthened SDP formulation is evaluated on 71 AC Optimal Power Flow test cases from the NESTA archive and is shown to have an optimality gap of less than 1% on 63 cases. This new hybrid relaxation closes 50% of the open cases considered, leaving only eight for future investigation
For operation and scheduling of power systems, AC Optimal power flow is needed. To obtain an optimal...
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) pr...
International audienceOptimal Power Flow (OPF) can be modeled as a non-convex Quadratically Constrai...
This overview paper summarizes the key elements of semidefinite relaxations of the optimal power flo...
This paper proposes three strong second order cone programming (SOCP) relaxations for the AC optimal...
International audienceThe Alternating-Current Optimal Power Flow (ACOPF) is a fundamental optimizati...
International audienceThe Alternating-Current Optimal Power Flow (ACOPF) is a fundamental optimizati...
International audienceThe Alternating-Current Optimal Power Flow (ACOPF) is a fundamental optimizati...
This is a short survey of recent advances in the convex relaxation of the optimal power flow problem...
This is a short survey of recent advances in the convex relaxation of the optimal power flow problem...
This paper is concerned with solving the nonconvex problem of optimal power flow (OPF) via a convex ...
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) pr...
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) pr...
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) pr...
Convexification is a fundamental technique in (mixedinteger) nonlinear optimization and many convex ...
For operation and scheduling of power systems, AC Optimal power flow is needed. To obtain an optimal...
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) pr...
International audienceOptimal Power Flow (OPF) can be modeled as a non-convex Quadratically Constrai...
This overview paper summarizes the key elements of semidefinite relaxations of the optimal power flo...
This paper proposes three strong second order cone programming (SOCP) relaxations for the AC optimal...
International audienceThe Alternating-Current Optimal Power Flow (ACOPF) is a fundamental optimizati...
International audienceThe Alternating-Current Optimal Power Flow (ACOPF) is a fundamental optimizati...
International audienceThe Alternating-Current Optimal Power Flow (ACOPF) is a fundamental optimizati...
This is a short survey of recent advances in the convex relaxation of the optimal power flow problem...
This is a short survey of recent advances in the convex relaxation of the optimal power flow problem...
This paper is concerned with solving the nonconvex problem of optimal power flow (OPF) via a convex ...
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) pr...
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) pr...
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) pr...
Convexification is a fundamental technique in (mixedinteger) nonlinear optimization and many convex ...
For operation and scheduling of power systems, AC Optimal power flow is needed. To obtain an optimal...
This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) pr...
International audienceOptimal Power Flow (OPF) can be modeled as a non-convex Quadratically Constrai...