Charging and Swapping Stations Planning Method Considering Differentiated Behavior Characteristics of Electric Vehicles in New Distribution System
With the increasing of electric vehicle users,it is of great significance to study the impact of differentiated behavior characteristics of electric vehicles on high proportion new energy distribution networks.The load characteristics of electric private cars are modeled using Monte Carlo method,and the load characteristic models for electric buses are proposed under three differentiated behavioral characteristics and energy replenishment modes.A collaborative planning model for distribution networks with distributed power sources and different types of electric vehicle charging and swapping stations is established with the goal of minimizing network loss and charging and swapping station costs,maximizing photovoltaic consumption.The yalmip toolbox and cplex solver are used to solve the problem,aiming to plan the capacity of differentiated electric vehicle charging and swapping stations to solve the planning problem when the proportion of electric vehicle types is different.Finally,the effectiveness of the proposed model is verified through an example of an improved IEEE33 node distribution system.
electric vehicledifferentiationcharging and swapping stationsanalysis of load behavior characteristicsplan
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维普
