Electric vehicle charging station load prediction method based on support vector machine

Abstract

The invention provides an electric vehicle charging station load prediction method based on a support vector machine. The electric vehicle charging station load prediction method based on the support vector machine comprises the following steps of: collecting charging station load before a prediction day and historical data of factors which affect the charging station load; constructing a training sample set according to the historical data; training by the training sample set to obtain the Lagrange multiplier of a support vector machine regression function; according to the Lagrange multiplier, establishing a support vector machine prediction model; and substituting the prediction sample set into the support vector machine prediction model to obtain a charging station load prediction value. According to the electric vehicle charging station load prediction method based on the support vector machine, which is disclosed by the invention, the electric vehicle charging station load prediction precision can be effectively improved, and a more reliable basis is provided for an electric power dispatching department to regulate a dispatching plan, regulate system reserve capacity and optimize the generator set capacity.

Description

technical field [0001] The invention belongs to the field of load prediction of electric vehicle charging stations. Background technique [0002] Traditional fuel vehicles not only consume a large amount of non-renewable energy, but are also one of the main sources of global greenhouse gas emissions and local environmental pollution. As electric vehicles replace fuel with electricity and play a huge role in solving energy and environmental crises, electric vehicles are gradually moving from the research and development stage to the stage of large-scale application. However, the large-scale electric vehicle charging load has the characteristics of high power, volatility and uncertainty, which brings great challenges to the safe operation, optimal dispatch and power flow control of the power grid. Therefore, it is of great significance to predict the load of electric vehicle charging stations. [0003] After the large-scale popularization of electric vehicles, their charging...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a load forecasting method for electric vehicle charging stations based on support vector machines, aiming to solve the problem of insufficient accuracy of traditional charging station load forecasting methods that only use electric vehicle driving characteristics and battery charging characteristics to predict loads, and improve the efficiency of electric vehicles. Adaptability and Engineering Practicability of Load Forecasting Method for Automobile Charging Station

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