Planning of electric vehicle charging stations considering user travel differences and charging decision preferences
The travel patterns of large-scale electric vehicles are generally regular,but the distribu-tion of their charging loads is affected by user subjective travel preferences.Firstly,considering the travel differences that exist in users'daily activities,a travel demand response model is established for vehicles of different types;based on the decision-making preferences of users during travel,the char-ging path selection strategy for electric vehicles in different states is determined.Secondly,the capaci-ty configuration of charging stations is based on the maximum amount of parallel service per unit of time and the optimization constraints of the candidate stations,and a charging facility planning model is established with the goal of minimizing the user's economic loss and the construction and operation-al annual average of the charging station.Finally,the improved particle swarm algorithm is used to solve the model,and the reasonableness and effectiveness of the proposed planning method are valida-ted through specific case studies.
electric vehiclecharging stationtravel differencesdecision preferencestravel demand response
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