  Wind power integration is an essential problem for modern power industry. In
this paper, we develop a novel bilevel mixed integer optimization model to
investigate wind power generation planning problem in an electricity market
environment with topology control operations. Different from existing
formulations, the lower level market clearing problem introduces binary
variables to model line switching decisions, which have been proven very
effective to improve transmission capability under different load profiles. To
solve this challenging bilevel mixed integer program, a recent decomposition
method is customized and a couple of enhancement techniques based on grid
structure are designed. Through computing instances from typical IEEE test
beds, our solution methods demonstrate a strong solution capacity. Also, we
observe that applying topology control on a small number of lines could be very
helpful to reduce wind power curtailment and improve the wind penetration
level.
