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Battery scheduling optimization method considering battery replacement economy and power grid peak load shifting

A technology of peak-shaving and valley-filling and optimization methods, applied in design optimization/simulation, genetic rules, constraint-based CAD, etc., can solve the problems of aggravating the peak-valley difference of the power grid and increasing the cost of battery input

Pending Publication Date: 2020-10-16
CHONGQING UNIV
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AI Technical Summary

Problems solved by technology

As the number of electric vehicles increases, battery input costs will also increase and large-scale battery charging will also exacerbate peak-to-valley differences in the grid

Method used

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  • Battery scheduling optimization method considering battery replacement economy and power grid peak load shifting
  • Battery scheduling optimization method considering battery replacement economy and power grid peak load shifting
  • Battery scheduling optimization method considering battery replacement economy and power grid peak load shifting

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, but it should not be understood that the scope of the subject matter of the present invention is limited to the following embodiments. Without departing from the above-mentioned technical ideas of the present invention, various replacements and changes made according to common technical knowledge and conventional means in this field shall be included in the protection scope of the present invention.

[0044] In this case, a battery exchange operation network point and 1,000 electric vehicles of a certain type are used as the research object to carry out application verification. The process framework and optimization algorithm are shown in the figure below. figure 1 The process framework of the battery scheduling optimization method is introduced; figure 2 The solution process of the battery scheduling optimization algorithm.

[0045] Table 1 Battery sw...

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Abstract

The invention discloses a battery scheduling optimization method considering battery replacement economy and power grid peak load shifting. The method comprises the following steps: firstly, predicting the number of batteries required in each time period of a battery swap station according to electric vehicle parameters, and scheduling by taking the predicted number of batteries in each time period as a data basis of a scheduling strategy, wherein the battery scheduling method mainly comprises two parts: a battery centralized distribution rule and a battery ordered charging strategy; and finally, establishing a battery investment and charging cost joint optimization model according to the scheduling.

Description

technical field [0001] The invention relates to the field of battery replacement for electric vehicles, in particular to a battery scheduling optimization method that considers the economy of battery replacement and power grid shaving and valley filling Background technique [0002] With the increasingly serious environmental pollution, it will become an inevitable trend for electric vehicles to replace fuel vehicles. The number of electric vehicles is increasing, and energy supply has become a key step in the continuous development of the new energy electric vehicle industry. Due to the characteristics of short charging time, low cost for users to purchase batteries, and convenient battery management, the battery swap mode of electric vehicles has attracted widespread attention from the society. [0003] In addition, in the battery replacement mode, the study of battery input cost and battery charging load is of great significance to the development of electric vehicles. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/12G06Q10/04G06Q10/06G06Q50/06G06F111/04
CPCG06F30/27G06N3/126G06Q10/04G06Q10/06315G06Q50/06G06F2111/04Y02E40/70Y04S10/50
Inventor 祁东峰李聪波龙云李永胜黄明利
Owner CHONGQING UNIV
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