  This paper studies the generation and transmission expansion co-optimization
problem with a high wind power penetration rate in large-scale power grids. In
this paper, generation and transmission expansion co-optimization is modeled as
a mixed-integer programming (MIP) problem. A scenario creation method is
proposed to capture the variation and correlation of both load and wind power
across regions for large-scale power grids. Obtained scenarios that represent
load and wind uncertainties can be easily introduced into the MIP problem and
then solved to obtain the co-optimized generation and transmission expansion
plan. Simulation results show that the proposed planning model and the scenario
creation method can improve the expansion result significantly through modeling
more detailed information of wind and load variation among regions in the US EI
system. The improved expansion plan that combines generation and transmission
will aid system planners and policy makers to maximize the social welfare in
large-scale power grids.
