## 5 Conclusions  
This paper selects ACLs as a DR resource to implement a load reduction during peak-load periods. In order to deal with the uncertainty of wind energy, a two-stage SUC model is developed to analyze the response of ACL users. On the basis of an equivalent thermal parameter model for ACL, this paper proposes a compensation cost calculation method of using ACL to cut down the peak load.  
A simulation analysis of the model was conducted in a 10-generator test system, and the validity and practicability of our model were demonstrated. Several implications can be drawn from our  
Figure 8: Load reduction curves under different scenarios (the values of \(K_{I}\) in the first- and second-type air-conditioning load (ACL) are 0.06 and 0.04, respectively).  
Figure 9: Load reduction curves under different scenarios (25%).  
simulation analysis. First, ACL shows enormous potential in load shedding. By designing reasonable incentives and compensation policies, ACL users can be motivated to respond towards the DR program, suggesting that the ACL would be an efficient load shedding measure in power system scheduling. Second, compared with the previous UC model of wind-integrated power systems without considering the ACL for DR, the optimization model proposed in this paper (incorporating the DR resources considering ACLs into UC) can effectively reduce peak loads, decrease the operation cost of the system and frequency of unit start-stops, foster efficient interaction between the demand-side and generation-side resource, resolve the tensions between the electronic supply and demand, and therefore lead to the reliable and economical operation of electric power systems. Third, the compensation measure proposed in this paper can largely motivate ACL users to respond towards power system dispatching. Last but not least, when designing reasonable incentives and compensation policies, the electric power company should consider the tradeoffs between customer benefits and the cost of the power system. For instance, if the compensation cost is too high, it might lead to certain uneconomic consequences from the perspective of the system operation. If the compensation cost is too low, customer benefits may be affected. Hence, it is important for the electric power company to take a comprehensive view so as to make an acceptable and valuable plan for both sides.  
We recommend certain future study directions on the basis of the simulation results and findings of this study. First, while it involves a complex structure and a large number of calculations, the physically based electrical model may be more precise than the simplified equivalent thermal parameter model. Hence, we suggest that future studies should aim to build models based on the physically based electrical model. Second, with the exception of temperature, the comfort factor may also be affected by other factors such as humidity. Hence, future studies are recommended to include such factors in their proposed model to improve the generalizability and degree of preciseness.  
This work is supported by the National Natural Science Foundation of China under Grant 51577061.  
The paper was a collaborative effort between the authors. [PERSON] carried out the main research tasks and wrote the full manuscript. [PERSON] and [PERSON] provided very helpful suggestions during the whole process. [PERSON] helped to largely improve the whole manuscript.  
The authors declare no conflict of interest.