Abstract: A decision-making method of corrective control for the wind power system with a unified power flow controller（UPFC）based on successive approximated linear programming is proposed. First, the decoupled power flow calculation method for the power system with UPFC is discussed. Then, considering wind power and load forecasting errors, the chance constrained programming theory is used to build the mathematic model for corrective control decisions. To solve the optimization problem of the nonlinear uncertainty system, the sensitivities of the line transmission capacity, voltage and system frequency with respect to the uncertain variables and control parameters are calculated separately. The primary problem is converted to a linear programming problem approximately in a specified steady state. The control parameters are modified iteratively according to the solution until convergence is reached. Finally, the algorithm is applied in a modified IEEE 10-generator 39-bus system to validate the effectiveness. The simulation results show that, compared with the scenario-based method, the successive approximated linear programming method can solve decision-making problems for the corrective control fast and efficiently, and has better economy and security. It is also shown that the load curtailment and the corrective control cost can be decreased largely through the UPFC control.