LAUSR

Wind power integration is an essential problem for modern power industry. In this paper, we develop a stochastic bilevel mixed integer optimization model to investigate the 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. Numerical results on typical IEEE test beds show that 1) topology control could be very helpful in reducing wind energy curtailment and improving the wind penetration level, and 2) such advantage often can be achieved by applying topology control on a small number of lines in a coordinated fashion.