Electric vehicle charging demand analysis method considering limited rationality of user

Abstract

The invention discloses an electric vehicle charging demand analysis method considering limited rationality of a user. The method comprises the following steps: S1, judging the occurrence probabilityof an activity under a current condition through the analysis of the attributes of the activity, and building a transfer relation between the activity of a traveler and a travel chain; S2, establishing a travel selection probability model on an activity-travel chain of the traveler; S3, acquiring a transfer rule of the traveler on the activity-travel chain and a charging rule of an electric vehicle on the activity-travel chain; and S4, carrying out analyzing to obtain the daily travel frequency of the traveler, and combining the daily travel frequency of the traveler with the charging rule ofthe electric vehicle on each activity-travel chain to obtain the daily charging demand of the electric vehicle. Compared with a statistical analysis method, the method provided by the invention not only can obtain a conclusion with higher general applicability, but also can reveal internal reasons influencing the change of the charging demand of the electric vehicle; and compared with an electricvehicle behavior and charging demand analysis method based on complete rational hypothesis, the method is more reasonable.

Description

technical field [0001] The invention relates to the fields of electric vehicle operation scheduling and power system load analysis, in particular to an electric vehicle charging demand analysis method considering user's bounded rationality. Background technique [0002] As a green travel tool, electric vehicles have become the trend of the times, and alternative fuel vehicles will become the main means of transportation in the future. However, the travel and charging and discharging of large-scale electric vehicles will inevitably bring great challenges to the coordinated development of urban traffic and power grids. Not only will it cause traffic jams, but it may also bring about impacts such as deterioration of power quality and grid stability. Therefore, an accurate grasp of the spatiotemporal behavior of electric vehicles and changes in charging demand is the basis for meeting the travel needs of urban residents and ensuring the safe and economical operation of the powe...

AI Technical Summary

Problems solved by technology

These research works do not take into account the incomplete rationality of electric vehicle users' charging and travel behaviors in actual situations, which will affect the accurate modeling of electric vehicle charging load.

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