Energy storage management system based on neural network

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...

AI Technical Summary

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.

Images