Auxiliary decision-making method for electric vehicle users' charging selection considering transmission congestion

Abstract

The invention discloses an auxiliary decision-making method for electric vehicle user charging selection in consideration of power transmission congestion, comprising the following steps: judging that the electric vehicle has a charging demand; collecting and analyzing road condition information of traffic routes from the position of the electric vehicle to each alternative charging station ;Analyze and calculate the charging time after the electric vehicle arrives at each alternative charging station; According to the congestion situation of the distribution network, calculate the power sensitivity through the power flow, and formulate the corresponding guiding electricity price for each alternative charging station; combine road condition information, charging time and The guide electricity price of the alternative charging station, using the analytic hierarchy process, the entropy weight method and the approximation to the ideal solution sorting method to establish a comprehensive evaluation index system for charging selection, to complete the optimal choice of charging for electric vehicle users. The invention provides an effective technical means for solving the charging selection problem of the electric vehicle, and while saving costs for users, it also optimizes the distribution of the charging load of the electric vehicle, which is beneficial to the stable operation of the distribution network.

Description

technical field [0001] The invention relates to an auxiliary decision-making method for charging selection of an electric vehicle user taking into account transmission congestion. Background technique [0002] With the increasing use of electric vehicles, large-scale electric vehicle charging will have a great impact on the stable operation and planning of the power system, especially when users choose a large number of fast charging methods, which are different from diffusion and low power consumption. Residential charging, this charging method is more suitable for vehicles that require a lot of energy consumption and long-distance travel. Because it requires specific charging facilities, it mainly occurs at fixed commercial charging stations, resulting in the concentration and scale of charging station loads. [0003] Electric vehicle charging selection is a stochastic and dynamic problem, with uncertainty in time and space, and users will make different decisions accordin...

AI Technical Summary

Problems solved by technology

However, the above literature mainly considers how to adjust the random load to improve the power quality of the power grid, and rarely considers the congestion problem of the distribution network.

Moreover, there is still a large gap between the performance of electric vehicles and traditional vehicles, including limited driving range, long charging time, and too few charging piles. The problem of "continuous driving mileage anxiety"

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