UNIVERSITY OF TEXAS AT AUSTIN, NEW AWARD- GRID OPTIMIZATION (GO) COMPETITION CHALLENGE 3. PROJECT TITLE: FAST AND ROBUST STRATEGIES FOR LARGE-SCALE MIXED-INTEGER SCOPF TO DEVELOP COMPUTATIONAL FRAMEWORKS WITH PRACTICAL, SCALABLE, AND EFFICIENT SOLUTION TECHNIQUES TAILORED TO LARGE-SCALE, NONCONVEX PROGRAMS TO SOLVE SECURITY-CONSTRAINED OPTIMAL POWER FLOW (SCOPF) PROBLEMS WHICH EXPLOIT DATA-DRIVEN PROBLEM RELAXATION, AN ITERATIVE RELAXATION FRAMEWORK, AND PARALLEL CALCULATION OF DERIVATIVES TO ACCELERATE THE SOLVER.