  In this paper, we present an optimization algorithm based on an alternating
projection method to solve the large-scale security constraint optimal power
flow (SCOPF) problem in power systems. The SCOPF is first partitioned into
sub-problems, which share common power components. The proposed algorithm is
fundamentally a distributed computing algorithm, which optimizes power flow in
each electrical bus. The output of the local optimization problem will be
exchanged among neighboring buses for the overall solution for the whole power
system. We performed the algorithm against a modified 14-bus power system and
demonstrated that the method is competitive with the commercial products
regarding the CPU computation time.
