Electric vehicle fast charging station energy storage monitoring system based on deep learning and a method thereof

An electric vehicle and deep learning technology, applied in system integration technology, information technology support system, forecasting, etc., can solve the problems of high difficulty in manual processing and evaluation, many data monitoring points, and large data volume, so as to reduce power supply costs, Enhanced service capabilities, good accuracy and performance

Active Publication Date: 2019-03-26
DEZHOU POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER +2
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] In order to solve the above problems, the present invention proposes an electric vehicle fast charging station energy storage monitoring system and its method based on deep learning. The present invention performs feature learning on the electric vehicle fast charging station

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  • Electric vehicle fast charging station energy storage monitoring system based on deep learning and a method thereof
  • Electric vehicle fast charging station energy storage monitoring system based on deep learning and a method thereof

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Embodiment Construction

[0063] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0064] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0065] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...

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Abstract

The invention discloses an electric vehicle fast charging station energy storage monitoring system and method based on deep learning. According to the invention, a deep learning algorithm is used to construct a set of electric vehicle fast charging station energy storage monitoring system; The energy storage monitoring comprehensive evaluation method based on deep learning is provided, feature learning and efficient and accurate calculation processing are carried out on big data, a calculation result is obtained, and the problems that data monitoring points in a fast charging station are many,the data size is large, manual processing and evaluation difficulty is high, and efficiency is low are solved.

Description

technical field [0001] The invention relates to a deep learning-based energy storage monitoring system for an electric vehicle fast charging station and a method thereof. Background technique [0002] With the rapid development of renewable energy power generation, the problems of curtailment of wind and light and other difficulties in grid connection and consumption have become more and more serious. The energy storage system has shown good economic benefits in terms of shaving peaks and filling valleys, saving electricity costs, and delaying the expansion and upgrading of power transmission and distribution. When the renewable energy industry is in urgent need of transformation, energy storage has become a crucial breakthrough point. In the "Thirteenth Five-Year Plan", energy storage technology was incorporated into the "National Plan for Addressing Climate Change". In terms of key low-carbon technologies, solar energy, wind power generation, large-scale energy storage and...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F16/28
CPCG06Q10/04G06Q10/06315G06Q50/06Y02E40/70Y04S10/50
Inventor 马勇李东王新库毕绍聪姜云马龙韩元凯李建祥许玮刘继东慕世友张华栋袁弘刘海波张洪利张健
Owner DEZHOU POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER
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