Electric vehicle charging load characteristic parameter recognition method and device based on complex coupling network multi-agent technology, equipment and medium

Abstract

The invention provides an electric vehicle charging load characteristic parameter recognition method and device based on a complex coupling network multi-agent technology, equipment and a medium. The method comprises the following steps: S1, designing a consistency control method, introducing complex coupling network containment consistency control into data clustering analysis, and quickly solving an initial clustering center; s2, a bipartite k-means method is adopted to quickly identify an expected value of an electric vehicle initial charging moment in a typical scene, and an electric vehicle charging probability and a charging initial time probability distribution function are extracted; compared with the prior art, the technical problems that an existing electric vehicle charging load modeling method based on data driving is complex in operation and difficult to achieve engineering application are solved, human intervention is not needed, initial clustering center selection is automatically completed, and clustering precision is improved; the charging probability and charging time period probability distribution function of the electric vehicle can be quickly and accurately solved, and the method has the characteristics of simple calculation and quick clustering.

Description

technical field

[0001] The invention belongs to the field of new energy technologies, and in particular relates to a method, device, equipment and medium for identifying electric vehicle charging load characteristic parameters based on complex coupling network multi-agent technology. 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 ...

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