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Intelligent energy control method and system based on artificial intelligence and Internet of Things

A smart energy and artificial intelligence technology, applied in the field of artificial intelligence, can solve the problems of power consumption of energy storage devices, excessive power of energy storage devices, and energy waste, and achieve the effect of relieving charging pressure, saving resources, and avoiding consumption.

Pending Publication Date: 2022-03-01
HUANGHUAI UNIV
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Problems solved by technology

[0004] When the existing energy storage device stores energy, it usually stores electricity in the energy storage device as much as possible, and uses the energy storage device to discharge during the charging peak period, but it is easy to cause too much electricity in the energy storage device. When the charging station is in the low valley period for a long time, the electricity in the energy storage device will produce unnecessary loss, resulting in additional waste of energy

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  • Intelligent energy control method and system based on artificial intelligence and Internet of Things
  • Intelligent energy control method and system based on artificial intelligence and Internet of Things
  • Intelligent energy control method and system based on artificial intelligence and Internet of Things

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[0027] In order to further explain the technical means and effects adopted by the present invention to achieve the intended purpose of the invention, a smart energy control method and system based on artificial intelligence and the Internet of Things proposed according to the present invention will be described below in conjunction with the accompanying drawings and preferred embodiments. , its specific implementation, structure, characteristics and effects thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0029] The embodiment o...

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Abstract

The invention relates to the technical field of artificial intelligence, in particular to a smart energy control method and system based on artificial intelligence and the Internet of Things. The method comprises the following steps: acquiring historical charging data of all charging stations in a city, and according to a charging quantity sequence of each charging station in a next period in the historical charging data; obtaining a correlation distance between any two charging stations in the city; clustering all the charging stations in the city according to the correlation distance to obtain a plurality of clusters; obtaining the confidence coefficient of each charging station in each cluster, and further obtaining a total charging amount sequence corresponding to each cluster; the average value of the total charging amount sequence corresponding to each cluster is obtained as a standard value, the time period corresponding to the charging amount larger than the standard value is the peak period, and the overflow amount of all the peak periods is obtained as the electric quantity needing to be stored by each charging station in the cluster. The problem of consumption caused by excessive energy in the energy storage device is effectively avoided, and the charging pressure of each charging station in the peak period can be relieved while resources are saved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an intelligent energy control method and system based on artificial intelligence and the Internet of Things. Background technique [0002] With the increasing pressure on energy and environmental protection and the rapid development of renewable energy technologies, the development of new energy vehicles, especially pure electric vehicles, has become the general trend. With the popularity of electric vehicles becoming more and more widespread, electric vehicle charging piles have also emerged as the times require; and the daily charging amount of electric vehicles in charging stations is closely related to people's travel patterns, which has great randomness and uncertainty. [0003] For any charging station, the number of electric vehicles charged in different time periods is different, so the charging capacity of the charging station is also different. I...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60L53/60B60L53/31
CPCB60L53/60B60L53/31Y02T10/70Y02T10/7072Y02T90/12Y02T90/167Y04S30/12
Inventor 王银玲于磊张亮高海宁刘文富王启白柳杨沈红丹曾建豪
Owner HUANGHUAI UNIV
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