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Small hydropower station generating capacity prediction system based on cloud edge fusion architecture and implementation method thereof

A forecasting system and small hydropower technology, applied in forecasting, neural architecture, neural learning methods, etc., can solve problems such as poor communication conditions, difficult maintenance, and inability to control, so as to improve speed and accuracy, reduce training data, and increase independence Effect

Pending Publication Date: 2020-03-27
GUANGXI POWER GRID CORP +1
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AI Technical Summary

Problems solved by technology

However, my country's small hydropower stations have problems such as small installed capacity, multiple points and wide area, difficult maintenance, scattered management, remote location, poor communication conditions, and backward automation level. Compared with the scientific scheduling and standardized management of large hydropower stations, small hydropower stations are still basically Disorderly managed state
Disorderly management leads to the emergence of isolated islands of information among dispatching agencies at all levels, making small hydropower nests and abandoned water serious during the flood season
So far, the online real-time collection and power generation forecasting system of small hydropower dispatching operation data has not been established, and small hydropower is basically in a state of "blind adjustment", which seriously affects the understanding of the operation status of the main grid dispatching center and cannot effectively regulate them , affecting the safety, stability and economic operation of Guangxi power grid

Method used

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  • Small hydropower station generating capacity prediction system based on cloud edge fusion architecture and implementation method thereof
  • Small hydropower station generating capacity prediction system based on cloud edge fusion architecture and implementation method thereof
  • Small hydropower station generating capacity prediction system based on cloud edge fusion architecture and implementation method thereof

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Embodiment Construction

[0052] The technical solution of the present invention will be described in further non-limiting detail below in conjunction with the embodiments and accompanying drawings.

[0053] Such as figure 1 As shown, the small hydropower generation prediction system based on cloud-edge fusion architecture includes: edge server and cloud computing server; the edge server is used to store meteorological data and small hydropower generation data in the measured area, and to build a small hydropower group generation prediction model, And according to the real-time meteorological data and small hydropower generation data transmitted by the cloud computing service, use the prediction model to predict the future power generation of the small hydropower group in the measured area, and then send the prediction results back to the cloud computing server. The edge server can use the local server of the power grid dispatching center ;The cloud computing server is used to transmit the real-time me...

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Abstract

The invention discloses a small hydropower station generating capacity prediction system based on a cloud edge fusion architecture and an implementation method thereof, and the method comprises the steps: collecting the real-time meteorological data and small hydropower station generating data of a measured region from an external system, directly uploading the real-time meteorological data and small hydropower station generating data to a cloud computing server through a VPN channel to achieve the human-computer interface of the system through the Internet; enabling the cloud computing serverto transmit the meteorological data and the small hydropower station power generation data to an edge server for storage. A small hydropower station generating capacity prediction model is constructed, small hydropower station generating capacity prediction is carried out by utilizing the model, then a prediction result is returned to a cloud computing server, system core analysis functions of data analysis, mining, prediction and the like are completed, and finally the prediction and analysis results are transmitted to terminal equipment through the Internet to be displayed. The method is atypical case of organic combination application of cloud computing and edge computing technologies, and effectively solves the problems of storage, transmission and display of power grid sensitive data while improving the reliability of the system.

Description

technical field [0001] The invention belongs to the technical field of prediction of hydropower generation, in particular to a small hydropower generation prediction system based on a cloud-edge fusion architecture and an implementation method thereof. Background technique [0002] The power grid is one of the country's important infrastructures, directly serving the national economy and people's lives. The safe and stable operation of the power grid is an important guarantee for economic development, social stability, and long-term stability of the country. Guangxi Power Grid is located on the west-to-east power transmission channel in the South. Its safe and stable operation is not only an important guarantee for the social and economic development of Guangxi, but also an important prerequisite for the safety and stability of the entire Southern Power Grid. [0003] In my country, small hydropower refers to hydropower stations with an installed capacity of no more than 25...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/04G06N3/08
CPCG06Q10/04G06Q50/06G06N3/049G06N3/08G06N3/045
Inventor 陈晓兵吴剑锋黄馗韦化吕中梁祝云张弛张乐黄国辉江雄烽练椿杰覃圣超
Owner GUANGXI POWER GRID CORP
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