In the mixed transportation network with random charging demand,a bi-level programming model is built to determine the reasonable number of charging piles.The upper model aims to minimize the sum of the net present value of the construction cost,the cost of customer loss,and the cost of exceeding the endurance time;the lower level model aims to minimize the user's generalized travel cost to describe the interaction between the road network flow allocation and the location of charging facilities.The model uses differential evolution algorithm and Frank-Wolfe algorithm nested to carry out traffic equilibrium assignment and charging pile configuration optimization simulation.The results show that the model can effectively simulate and predict network equilibrium traffic flow,random charging flow,queuing loss rate and optimal number of charging piles.
维普
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