A method for optimal configuration of electric vehicle charging stations

Abstract

The invention discloses a method for optimizing the configuration of electric vehicle charging stations. Based on the analysis of the behavioral characteristics of various types of electric vehicles, the Monte Carlo simulation method is used to predict the charging power demand in the planning area; considering constraints such as power grids, charging stations and investor budgets , establish a bi-level programming model of charging station investment income and user-perceived utility; introduce KKT conditions to realize the equivalent transformation of double-single-layer models, and use the variable neighborhood search-particle swarm hybrid algorithm with convergence aggregation degree to solve. The invention effectively avoids the problem of premature convergence of particles, increases the diversity of the population, significantly improves the optimization ability of particles and the convergence speed of the algorithm, improves the calculation speed and calculation accuracy of the optimal configuration of the charging station, and is an excellent solution for the enterprise-led model. It provides an important reference for investors to plan and build charging stations.

Description

technical field [0001] The invention relates to the technical field of optimal configuration of electric vehicle charging stations, in particular to a method for optimal configuration of electric vehicle charging stations. Background technique [0002] In recent years, countries around the world have reached a consensus on strengthening the development and utilization of renewable energy under the dual pressure of energy crisis and environmental pollution. At present, as a green vehicle that can make full use of renewable energy to achieve energy conservation and environmental protection, electric vehicles have been rapidly developed and widely used in developed countries such as Europe, America, and Japan. Investors of enterprises under the enterprise-led model (such as Tesla, BYD, BAIC and other large automobile manufacturers) pay more attention to the investment income and comprehensive market competitiveness of electric vehicle charging stations. One of the key concerns...

AI Technical Summary

Problems solved by technology

The particle swarm optimization algorithm adopted is an intelligent optimization algorithm based on social group behavior, which has fast search ability, but it often falls into local optimum due to the loss of population diversity and premature convergence in the later stage of evolution.

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