Optimized planning method of electric vehicle charging station based on whole life cycle cost

Abstract

The invention discloses an optimized planning method of an electric vehicle charging station based on whole life cycle cost, wherein the optimized planning method analyzes the cost benefit of a charging station and calculates the whole life cycle cost. The invention suggests estimation of a charging station capacity by means of road network traffic flow information. Maximization of net present value profit is used as an optimization target. The position and the capacity of the charging station are determined according to the road network traffic flow, electric network power quality and economic performance and user charging requirement as constraint conditions. Furthermore, the invention provides a charging station optimization planning model based on the whole life cycle cost, and furthermore the charging station optimization planning model is solved according to a quantum genetic algorithm. The optimized planning method can plan the electric vehicle charging station effectively and accurately, thereby obtaining an optimal station address and an optimal capacity, and calculating a maximal net present value. The optimized planning method compensates insufficiencies in present other electric vehicle charging station planning methods to a certain extent, and furthermore can obtain higher convergence speed and more accurate value in actual operation.

Description

technical field [0001] The invention relates to the field of planning and optimization of centralized charging stations for electric vehicles, in particular to an optimization planning method for charging stations for electric vehicles based on full life cycle costs. Background technique [0002] The shortage of fossil energy, the intensification of environmental pollution, and the advancement of battery technology have promoted the development of the electric vehicle industry. With the acceleration of the promotion of electric vehicles, the number of electric vehicles in the future market will continue to grow. Due to the limitation of the energy density of on-board batteries, the cruising range of electric vehicles is short. Therefore, it is necessary to build a complete charging facility to ensure the daily use of electric vehicles. The construction and operation of large-scale electric vehicle energy supply facilities is an important guarantee for the development of the...

AI Technical Summary

Problems solved by technology

However, if the methods of selection, crossover, and mutation are improper, the genetic algorithm will show the phenomenon of many iterations, slow convergence speed, and easy to fall into local extremum.

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