In view of the fact that a large number of data that are accurate to single household controllable load at this stage are mostly from abroad and are not suitable for domestic residents to participate in demand response, household controllable loads in a residential area in China by questionnaire survey is counted, and feasibility and potential for peak shaving and improving the consumption level of wind power and photovoltaic are analyzed. Firstly, based on the principle of being objective and easy to answer, the household controllable load questionnaire is designed, and 466 valid answers are collected after publication. Then the questionnaire survey data quality comprehensive evaluation system is used to evaluate the statistical questionnaire. Based on the evaluation results, Python is used to quantify the questionnaire information with good evaluation level and above, and the demand response potential of household controllable load is calculated by using the bottom-up hierarchical modeling idea and combining with the mathematical model of household controllable load. Finally, by comparing the demand response potential of various types of controllable loads of residents, it is known that household controllable loads in China can participate in demand response are air conditioning, electric water heaters, washing machines, etc. By comparing household controllable load curve with the typical output of wind power and photovoltaic power generation, it can be seen that household controllable load has the potential to improve the consumption level of photovoltaic power generation and wind power.