The SYSMO team is hosting a talk by Hassan Hijazi, 14 june 2016 at 14:30 in Salle Flajolet, LIX - Turing Building.

Hassan Hijazi is currently senior researcher at NICTA, Australia. He spent two years as a postdoctoral fellow at LIX a few years ago.

Title: Convex Cuts for Non-Convex Optimization in Power Systems

Abstract: The use of convex relaxations has lately gained considerable interest in power systems. These relaxations play a major role in providing quality guarantees for non-convex optimization problems. For the optimal power flow problem, the semidefinite programming (SDP) relaxation is known to produce tight lower bounds. Unfortunately, SDP solvers still suffer from a lack of scalability. In this talk, we will introduce an exact reformulation of the SDP relaxation, formed by a set of polynomial constraints. These new constraints can be seen as “cuts”, strengthening weaker second-order cone relaxations, and can be generated in a lazy iterative fashion. The new formulation can be handled by standard nonlinear programming solvers, enjoying better stability and computational efficiency. Preliminary results show a significant gain in computational efficiency cared to a standard SDP solver approach. The talk will also cover recent resultsn alternative quadratic convex relaxations for this problem.