Aiming at the problem to calculate available transfer capability（ATC） of power system with high wind power capacity， reasonably account for the risks associated with wind generation， two risk-controlling strategies， including specifying the smallest acceptable probability for power flow limits not violated and the total generation purchasing cost limit not violated， are introduced into the ATC calculation for enhancing the ability of the obtained ATC scheme against security and economic risks. First， an optimal power flow based chance constrained programming model， with security and economic risk control strategies taken into account， is developed. Next， the security and economic risks associated with the power flow limit and generation cost limit violations respectively are evaluated by the combined use of cumulants and Gram-Charlier series. Finally， the multi-objective differential evolution algorithm is employed for solving the developed optimization model. The IEEE 118-bus system is served for demonstrating the essential features of the developed model and method.