Charging and discharging optimization scheduling method based on nonlinear quantile interval prediction
A technology for optimizing scheduling and non-linear functions, applied in photovoltaic power generation, wind power generation, electrical components, etc., can solve problems such as no battery operation boundary analysis, achieve more flexible scheduling results, ensure rationality, and high feasibility Effect
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[0085] Such as Figure 7 As shown, the present invention provides an electric vehicle charge and discharge optimization scheduling method based on nonlinear quantile interval prediction, which can not only realize accurate prediction of electric vehicle access and departure time, but also improve battery charge and discharge efficiency during scheduling. Security, specifically including the following steps:
[0086] 1) Firstly, aiming at the problem that the probability and statistical parameters of the electric vehicle access and departure time in the park are difficult to estimate accurately, a nonlinear non-parametric probability interval prediction method is proposed. According to the quantile prediction principle, combined with the electric vehicle driver in the park Habits and behaviors, can directly predict the quantile of the corresponding confidence interval boundary, this method overcomes the shortcomings of interval prediction relying on probability statistics param...
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