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Hydroelectric power station water inflow prediction method and system

A technology for hydropower stations and forecasting methods, applied in forecasting, nuclear methods, instruments, etc., can solve problems such as insufficient forecasting accuracy, and achieve the effect of accurate forecasting

Pending Publication Date: 2020-05-12
STATE GRID LIAONING ELECTRIC POWER RES INST +3
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides a method and system for predicting the inflow of water in a hydroelectric power station, which solves the problem of insufficient prediction accuracy in existing methods

Method used

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  • Hydroelectric power station water inflow prediction method and system
  • Hydroelectric power station water inflow prediction method and system
  • Hydroelectric power station water inflow prediction method and system

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0037] Such as figure 1 As shown, a hydroelectric power station water flow forecasting method includes the following steps:

[0038] Step 1. Construct a water forecasting model considering local rainfall information, local meteorological information and outflow of upstream hydroelectric power stations.

[0039] The water quantity prediction model adopts the SVM regression model, as follows:

[0040]

[0041] s.t.||y i -(ω·x i +b)||≤ε

[0042] Where ε≥0 represents the maximum gap between the predicted value and the real value; x i is a four-dimensional vector, representing the local rainfall value, temperature value, humidity value, and the outbound flow value of the upper hydropower sta...

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PUM

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Abstract

The invention discloses a hydroelectric power station water inflow prediction method. The method comprises the steps: constructing a water inflow prediction model considering local rainfall information, local meteorological information and warehouse-out flow of an upstream hydroelectric power station; collecting local rainfall historical information, local meteorological historical information, historical warehouse-out flow of an upstream hydroelectric power station and historical warehouse-in flow of the local hydroelectric power station, and constructing a training set; training a water volume prediction model by using the training set; and adopting the trained water volume prediction model to predict the storage flow of the local hydroelectric power station. The invention further discloses a corresponding system. According to the water volume prediction model, the local rainfall information, the local meteorological information and the warehouse-out flow of the upstream hydroelectric power station are considered, and compared with a traditional method, prediction is more accurate.

Description

technical field [0001] The invention relates to a method and a system for forecasting water flow in a hydroelectric power station, belonging to the technical field of power system scheduling automation. Background technique [0002] With the rapid development of the economy, the demand for electric energy in human life and industrial and commercial activities is increasing. Thermal power generation and other methods not only increase the difficulty of mining raw materials, but also cause great harm to the natural ecological environment. The energy situation and Environmental problems are becoming more and more serious. As a primary energy source for electric energy production, water energy is clean, pollution-free, cheap, and renewable, and plays an extremely important role in social and economic development. The main economic indicator for the operation of a hydroelectric power station is the power generation. There are many factors that affect the power generation. Among ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N20/10
CPCG06Q10/04G06Q50/06G06N20/10
Inventor 姜枫屈中山李铁葛延峰张旭苏安龙高凯潘琦陈晓东刘淼张艳军崔岱常志朋任一丹詹克明蔡壮王钟辉张凯胡锦景韩秋
Owner STATE GRID LIAONING ELECTRIC POWER RES INST