Energy storage management system based on neural network

A neural network and management system technology, applied in the field of battery modules, can solve problems such as the inability to optimize the charging and discharging strategy of the energy storage system, long cost recovery period, and inability to meet user needs, so as to reduce costs, increase profits, and reduce charging costs Effect

Inactive Publication Date: 2017-06-13
深圳市麦澜创新科技有限公司
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Problems solved by technology

[0003] At the same time, with the vigorous development of energy storage battery technologies such as lithium batteries, the overall cost of energy storage systems has gradually decreased, but compared with its economic benefits, its cost recovery period is still long, which cannot meet user needs
The traditional energy storage system mainly supplies power to the user by simply controlling the charge and discharge of the battery module, and cannot optimize the charge and discharge strategy of the energy storage system according to the actual load of the user and the actual condition of the user's power consumption.

Method used

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  • Energy storage management system based on neural network
  • Energy storage management system based on neural network
  • Energy storage management system based on neural network

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Embodiment Construction

[0014] The present invention is described below in conjunction with embodiment.

[0015] Invention-based embodiments such as figure 1 A neural network-based energy storage management system is shown, including a weather data acquisition module, an energy storage unit and an energy storage management module, wherein the weather data acquisition module includes a field sensor group, a network weather data receiving unit and a weather data processing unit, The weather data processing unit processes the data output by the on-site sensor group and the network weather data receiving unit based on a weighting algorithm, and marks the processed data as weather data; the energy storage unit is used to mark and record the consumption of the energy consumption unit The energy storage management module receives and processes the weather data and energy consumption information based on the neural network to output expected energy consumption information Q, and outputs regulation strategy i...

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Abstract

The present invention discloses an energy storage management system based on a neural network. The system comprises a weather data acquisition module, an energy storage unit and an energy storage management module. The weather data acquisition module comprises a field sensor group, a network weather data receiving unit and a weather data processing unit, wherein the weather data processing unit processes data output by the field sensor group and the network weather data receiving unit and marks the data as weather data; the energy storage unit is used for marking and recording energy consumption information of an energy consumption unit; and the energy storage management module receives the weather data and the energy consumption information and processing the weather data and the energy consumption information based on a neural network to output expected energy consumption information Q, and outputs regulation policy information based on the expected energy consumption information Q. According to the system provided by the present invention, energy consumption and weather and data are processed based on the neural network to output the expected energy consumption information; the periods of energy charging and energy discharging of the energy storage unit are adjusted based on the energy consumption information; and by adjusting the period of energy charging, the cost of energy charging is reduced, so that cost reduction is facilitated and benefits are increased.

Description

technical field [0001] The invention relates to an energy storage management system based on a neural network, which belongs to the field of battery modules. Background technique [0002] The technological development of energy storage systems is the key to ensuring the large-scale development of clean energy and the safe and economical operation of power grids. Energy storage system technology can increase the power storage link in the power system, balance the supply and demand of the power system in real time, especially reduce the potential impact of large loads on the power grid and adjust the peak and valley of power demand, thereby improving the safety, economy and flexibility of power grid operation sex. [0003] At the same time, with the vigorous development of energy storage battery technologies such as lithium batteries, the overall cost of energy storage systems has gradually decreased. However, compared with its economic benefits, its cost recovery period is s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N3/04
CPCG06N3/04G06Q10/06312
Inventor 吕洲杨林刘博洋
Owner 深圳市麦澜创新科技有限公司
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