Electric vehicle charging load determination method and device based on data driving, electronic equipment and storage medium

Abstract

The invention provides an electric vehicle charging load determination method and device based on data driving, electronic equipment and a storage medium. The method comprises the following steps that S1, a k-means clustering analysis method is adopted for clustering analysis, electric vehicle charging behavior characteristic parameters are extracted, and a nonlinear programming function about the charging load is established; and S2, the established nonlinear programming function about the charging load is solved so as to determine an electric vehicle charging load model. According to the method provided by the invention, the electric vehicle charging load model is established autonomously without human intervention, accurate prediction of the electric vehicle charging load can be realized based on data driving, and the power supply planning optimization design requirement considering the dynamic change of the electric vehicle charging load is met.

Description

technical field [0001] The invention belongs to the technical field of new energy, and in particular relates to a data-driven electric vehicle charging load determination method, device, electronic equipment and storage medium. Background technique [0002] New energy electric vehicles have received increasing attention and applications due to their advantages such as superior handling performance, low pollution emissions, and high energy safety. However, with the large-scale connection of electric vehicles to the power grid, the randomness of the charging load will form an impact load, which will have a negative impact on the safe and stable operation of the power grid, especially for the peak-valley difference in power consumption that has been formed in urban production and living power loads, and the charging load of electric vehicles It often causes the negative impact of "peak on top of peak", further increasing the demand for traditional fossil energy, but reducing th...

AI Technical Summary

Problems solved by technology

However, with the large-scale connection of electric vehicles to the power grid, the randomness of the charging load will form an impact load, which will have a negative impact on the safe and stable operation of the power grid, especially for the peak-valley difference in power consumption that has been formed in urban production and living power loads, and the charging load of electric vehicles It often causes the negative impact of "peak on top of peak", further increasing the demand for traditional fossil energy, but reducing the environmental protection advantages of electric vehicles

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