Abstract: Today, Demand Response (DR) has become a promising concept in operation of power systems. In this study, a new model is proposed for optimal design of Real-Time Pricing (RTP) demand response. The goal of this program is to reduce undesirable effects of fluctuations and uncertainty of wind power generation in the power system. The employed model for demand response is an efficient model based on obtaining maximum profit by the customer. To this end, optimal prices of RTP are obtained through solving an optimization problem. The proposed objective function for this problem includes production cost, reserve cost, expected cost of unsupplied power and payments of responsive loads participating in RTP. In the proposed model all power flow constraints and constraints of unit commitment are considered. In addition, uncertainty of wind power generation considering several scenarios is well modeled. In order to analyze the proposed model, IEEE Reliability Test System (RTS) is used as a case study. The proposed optimization problem is a mixed integer nonlinear problem which has been modeled and solved by GAMS. The simulations are performed in three cases and its results are analyzed and compared. In the first case, wind resource and responsive loads are not considered, wind resource is present in the second case and in the third case and wind resource and responsive loads are both considered. Simulation results show that RTP program can eliminate unsupplied power and it reduces operation costs in power system including wind farm.