In the project, the effect of the charging behaviours of electric vehicles (EVs) to the grid load is simulated. The peak load value, charging bills and traveling rate such indices are established as the comprehensive evaluation system from the power suppliers and end-users perspectives. Based on the statistics and mathematical tools, the residential traveling historical data can be analyzed and fitted to predict their probability distribution, so that the models of the travelling patterns and EV charging schemes can be developed. A nonlinear stochastic programming model with the maximized comprehensive index as the objective function is developed and a heuristic searching algorithm is used for the optimal parameters configuration. Furthermore, considering the characteristics of the normal batteries \& charging piles, user behaviour and EV scale, a Monte Carlo simulation process is designed to simulate the large-scale EVs traveling behaviours in long-term periods.
Zhifei Li (2023). The simulation of the large-scale Electric Vehicle charging behaviours (https://www.mathworks.com/matlabcentral/fileexchange/62816-the-simulation-of-the-large-scale-electric-vehicle-charging-behaviours), MATLAB Central File Exchange. Retrieved .
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