Electric vehicle multi-objective optimization charging scheduling method under hybrid demand response

An electric vehicle multi-objective optimization charging scheduling method under mixed demand response comprises the following steps: constructing a price type demand response strategy, and dividing a guiding process of an electric vehicle aggregator to an electric vehicle user charging behavior from three stages of day ahead, day and end of day; on the basis of the charging subsidy, users are motivated by formulating a user level classification mechanism and an integral reward mechanism, the users are classified in the process, and different integral schemes are set according to categories; on the basis of the excitation type demand response strategy, the time-of-use electricity price is converted into an integral, and the integral value in the peak-valley period is limited to obtain a mixed demand response strategy; the user adhesion degree is analyzed and quantified and introduced into the analysis process, the influences of the three types of demand response strategies on the power grid and the user side