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Method, device and system for predicting load of charging station

A prediction method and technology of prediction device, applied in prediction, information technology support system, data processing application, etc., can solve problems such as deviation, low accuracy of prediction results, and no consideration of user fast charging or slow charging waiting time, etc. Fit, improve accuracy

Active Publication Date: 2022-05-17
CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the existing technology still has the following defects: the actual electric vehicle charging data is not used for feature extraction, the optimal probability model and the determination of the optimal parameters, and the user's fast charging or slow charging waiting time is not considered. The above reasons will lead to Problems with low prediction accuracy or large deviations

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  • Method, device and system for predicting load of charging station
  • Method, device and system for predicting load of charging station
  • Method, device and system for predicting load of charging station

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specific Embodiment 1

[0028] The embodiment of the present invention firstly provides an embodiment of a method for predicting the load of a charging station. figure 1 A flow chart of an embodiment of a method for predicting a charging station load according to the present invention is shown. Such as figure 1 As shown, the method includes the following steps:

[0029] S1: Obtain the charging data set and preset prediction conditions of the electric vehicle in the charging station, and perform data statistics on the charging data set according to statistical requirements, so as to obtain a first charging behavior data set.

[0030] In order to analyze and extract the user's charging behavior by adopting the high-order Gaussian fitting method in the future, and then combine the above characteristics to predict the load of the charging station, it is first necessary to obtain the user's charging behavior characteristics, which can be obtained here. The data related to the user's behavior habits in t...

specific Embodiment 2

[0058] Furthermore, the embodiment of the present invention also provides another embodiment of a method for predicting the load of a charging station. figure 2 A flow chart of another embodiment of a method for predicting a charging station load according to the present invention is shown. like figure 2 As shown, the method includes the following steps:

[0059] A1: Receive the charging data set of the electric vehicle in the charging station sent by the intelligent acquisition terminal, and store the charging data set.

[0060] The charging data group includes the first charging data group of each charging pile for each power supply and the number of vehicles entering the charging station in different time periods; the first charging data group includes fast charging waiting time, slow charging waiting time, starting charging Time, charging end time, entering charging station time, leaving charging station time, battery capacity and initial state of charge.

[0061] A2:...

specific Embodiment 3

[0088] In addition to the above method, an embodiment of the present invention also provides an embodiment of a charging station load prediction device. image 3 A structural diagram of an embodiment of a charging station load prediction device according to the present invention is shown. Such as image 3 As shown, the prediction device 1 includes an acquisition statistics unit 11 , a model fitting unit 12 and a simulation calculation unit 13 .

[0089] The acquisition and statistics unit 11 is used to acquire the charging data set of the electric vehicle in the charging station and the preset prediction conditions, and perform data statistics on the charging data set according to statistical requirements, so as to acquire the first charging behavior data set. The prediction conditions include statistical requirements, model fitting parameters and simulation parameters. In one embodiment, the obtaining statistics unit is further used for removing invalid values ​​in the char...

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Abstract

The invention discloses a method, device and system for predicting the load of a charging station. The device includes an acquisition statistics unit, a model fitting unit and a simulation calculation unit. The system includes a device for predicting the load of a charging station and a charging station. Gaussian fitting is performed by obtaining the charging behavior data set from the actual electric vehicle charging data, and the simulation calculation and accumulation calculation are carried out according to the Monte Carlo simulation algorithm to obtain the simulated daily load curve, and all the predicted daily load curves obtained are accumulated. By averaging, the prediction method, device and system improve the accuracy of the prediction result of the charging station load; further, the method, device and system for predicting the charging station load provided by the present invention also consider the waiting time of fast charging and the waiting time of slow charging. Time, which improves the fit of the prediction process and the actual situation, thereby further improving the accuracy of the prediction results of the charging station load.

Description

technical field [0001] The invention relates to the field of load prediction of charging stations, and relates to a method, device and system for predicting loads of charging stations. Background technique [0002] With the proposal of my country's "carbon peak" and "carbon neutrality" goals, electric energy substitution has attracted more and more attention from grid companies and comprehensive energy service providers, especially in the field of electric vehicles. However, the charging load characteristics of electric vehicles are random and uncertain. Centralized access to charging stations for charging is likely to have an impact on the grid load and affect the safe and stable operation of the power system. In order to allow charging stations to better provide charging services and improve grid operation efficiency, it is necessary to predict the load of charging stations to provide a reference basis for subsequent site selection planning and coordination and optimizatio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06Q10/04G06Q50/06
CPCG06F30/20G06Q10/04G06Q50/06Y04S10/50
Inventor 陈吕鹏李志铿张磊黄泽杰孙浩赵振杰
Owner CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD