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Charging scheduling algorithm and charging pile power load prediction system

A scheduling algorithm and charging power technology, applied in forecasting, charging stations, electric vehicle charging technology, etc., can solve problems such as large impact on output data, achieve accurate results, and solve disorderly problems

Pending Publication Date: 2022-08-05
广州万城万充新能源科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Considering the limitations of the regression model, the load forecasting system chooses to use the long-term short-term memory model (LSTM) to realize load forecasting, and at the same time proposes the V-LSTM neuron unit to solve the problem of historical data versus output data in the existing long-term short-term memory model overreaching problem

Method used

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  • Charging scheduling algorithm and charging pile power load prediction system
  • Charging scheduling algorithm and charging pile power load prediction system
  • Charging scheduling algorithm and charging pile power load prediction system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] A charging scheduling algorithm, characterized in that:

[0050] (1) The electric vehicle charging area is divided into high-power, medium-power and low-power areas according to the power of the charging pile;

[0051] (2) Real-time statistics of the charging power w required by the electric vehicle to be charged 1 , and the unused charging bits in the high-power, medium-power, and low-power charging areas, expressed as {m 1 ,m 2 ,m 3 };

[0052] (3) Based on statistical data, determine the charging power w of a single electric vehicle 1 Whether it is high power, medium power or low power;

[0053] (4) If there is an unused charging position in the corresponding charging power area of ​​the electric vehicle, allocate it to the corresponding area, and if there is no charging position in the corresponding power area, allocate it to the waiting area.

[0054] Due to the different maximum charging power required by various types of electric vehicles at present, in ord...

Embodiment 2

[0057] In this embodiment, as a further improvement of the technical solution of Embodiment 1, the charging area division standard is:

[0058] (2) When w 1 When <100kw, it is regarded as low power;

[0059] (2) When 1001 When <250kw, it is regarded as medium power;

[0060] (3) When w 1 >250kw, it is considered as high power.

[0061] At present, the charging power of AC charging piles is 7kw, and the charging power of DC charging piles is 30kw to 350kw. Therefore, this scheme divides the type of charging area based on this to meet the charging power requirements of different electric vehicles, and also prevent the charging power from being higher than that of electric vehicles. Power damages electric vehicle batteries.

Embodiment 3

[0063] In this embodiment, as a further improvement of the technical solution of Embodiment 2, the charging position allocation ratio of the low-power, medium-power and high-power charging piles is: 2:3:5.

[0064] Since most of the current electric vehicles are medium-power and high-power charging vehicles, and the future development trend of electric vehicles is to achieve high-power fast charging, this scheme sets the charging position allocation ratio of low-power, medium-power and high-power charging piles. It is: 2:3:5, which further meets the needs of charging users.

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Abstract

The invention discloses a charging scheduling algorithm and a charging pile power load prediction system, and the algorithm comprises the steps: dividing an electric vehicle charging region into a high-power region, a medium-power region and a low-power region according to the power of a charging pile; the charging power w1 required by the target electric vehicle and the unused charging positions in the high, medium and low power areas are counted in real time and are expressed as {m1, m2, m3}; judging whether the charging power w1 of the single electric vehicle belongs to high power, medium power or low power; and if the corresponding power area has the unused charging position, allocating the unused charging position to the corresponding area, and if the corresponding power area does not have the charging position, allocating the unused charging position to the waiting area. According to the prediction system, a charging pile data collection module is used for collecting related data influencing the load of a charging pile, and a load prediction module obtains a power load prediction value of the charging pile in the current system through a V-LSTM algorithm.

Description

technical field [0001] The invention relates to the technical field of charging power of charging piles, in particular to a charging scheduling algorithm and a power load prediction system of charging piles. Background technique [0002] The emergence of electric vehicles has alleviated the pollution problems caused by gasoline burning and the growing shortage of energy, but at the same time it has brought the burden on the urban power grid. According to relevant data, the current ownership of new energy vehicles has reached more than 5 million, especially in first- and second-tier cities, which account for the vast majority of new energy vehicles, which will bring great impact to the already overloaded urban power grid system. greater challenges. At the same time, in the face of different electric vehicles, the charging pile also provides a variety of charging power and a variety of charging services (fast charging, etc.), which makes the load management of the charging pi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N3/04B60L53/63
CPCG06Q10/04G06Q10/06313G06Q10/06312G06Q50/06B60L53/63G06N3/044Y02T10/70Y02T10/7072Y02T90/12
Inventor 彭龙锋李子坚林漫丰
Owner 广州万城万充新能源科技有限公司
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