The central air-conditioners（CAC）in commercial buildings is an important kind of demand response（DR）resources.Taking peak-shaving in summer as the case, three DR strategies for CAC based on global temperature adjustment（GTA）are proposed,and two evaluation indicators are designed：interactive capability and user net income considering the loss of productivity.In order to achieve accurate DR prediction, EnergyPlus physical modeling method is used to build energy consumption prediction model. Simulation results of a commercial building in Shanghai show that：the proposed DR strategies can provide different interactive capabilities for the grid under the premise of comfort level. Using the pro-posed user net income model considering the productivity loss, the grid can analysis the impact of the compensation price on the CAC users, while users can choose the best DR strategy and optimal interactive power to obtain maximum net income.