Electric vehicle charging planning method, system, terminal and medium with priority on wind power

Abstract

The invention discloses an electric automobile charging planning method and system with wind power as a priority, a terminal and a medium. The intelligent electric automobile charging planning methodcomprises the steps that the initial value of remaining power, rated charging power, the maximum allowable charging power and the minimum allowable charging power of an electric automobile are read; an expected remaining power percentage threshold value at the moment when the charging time is end and charging completed is obtained, and whether the remaining power percentage end value is greater than or equal to the remaining power percentage threshold value or not is judged when the charging time is end; if yes, a wind power output prediction curve at the certain day is obtained, and an electric automobile is charged with the rated charging power, or the maximum or minimum allowable charging power or the dynamic equivalent wind power according to the wind power output prediction curve; andif not, selection buttons used for prolonging the charging time or shortening the remaining power percentage threshold value are provided. According to the electric automobile charging planning method and system with the wind power as the priority, the terminal and the medium, active consumption of surplus wind power can be facilitated, pressure of a power grid pitch peak is lowered, and the device using rate of a wind power field is increased.

Description

technical field [0001] The present invention relates to the technical field of energy management, and in particular, to a method, system, terminal and storage medium for intelligent charging planning of electric vehicles that preferentially use wind power. Background technique [0002] According to industry statistics, in 2017, 15.03 million kilowatts of new grid-connected wind power installed capacity was added, and the cumulative grid-connected installed capacity reached 164 million kilowatts, accounting for 9.2% of the total installed power generation capacity. However, in 2017, the annual abandoned wind power reached 41.9 billion kWh. Among them, Gansu abandoned 9.2 billion kWh of wind power, and the abandonment rate reached 33%; Xinjiang abandoned 13.3 billion kWh of wind power, and the abandoned wind rate reached 29%; Jilin has abandoned wind power of 2.3 billion kWh, and the abandonment rate has reached 21%; Inner Mongolia has abandoned wind power of 9.5 billion kWh, ...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the current charging pile charging system, the present invention designs an electric vehicle intelligent charging planning method, system, terminal and storage medium that prioritizes the use of wind power, so as to solve the problem of effective wind power consumption during the serious period of wind power curtailment in the power grid, and reduce the power consumption of the power grid. Wind curtailment rate to better improve equipment utilization of wind farms

Images