Large-scale charging pile planning model modeling method based on small data
A planning model and modeling method technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as difficulty in obtaining charging data, and achieve the effect of solving planning problems
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[0041] Combine below figure 1 The flow chart shown further describes the invention.
[0042] The planning of electric vehicle regional charging piles is a multi-objective and multi-variable decision-making optimization problem. For small-scale charging data, each charging characteristic index is analyzed separately, and the data distribution model of each index can be obtained, including normal distribution, Γ distribution, Rayleigh distribution, etc.
[0043] The Monte Carlo method is used to predict large-scale charging data of various charging characteristic indicators, including charging start time, charging connection duration, and charging power data.
[0044] The specific steps of the Monte Carlo method are as follows:
[0045] (1) Stochastic process modeling, that is, analyzing the probability distribution of a given sequence of random variables;
[0046] (2) Generate a random variable sequence that obeys the distribution based on the obtained probability distribut...
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