Reservoir real-time water storage scheduling method based on ensemble forecast

A technology of ensemble forecasting and scheduling methods, applied in forecasting, data processing applications, instruments, etc., can solve problems such as the inability to utilize water resources to the greatest extent, the inability to utilize runoff forecast information, and the reduction of the accuracy of dispatching decisions, so as to improve utilization efficiency. , to ensure accuracy and improve the effect of filling rate

Active Publication Date: 2017-10-13
WUHAN UNIV
View PDF3 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] There are the following problems in the existing technology: (1) The current water storage period scheduling is mainly based on the conventional scheduling chart, and the runoff forecast information cannot be used; (2) In the real-time scheduling of the reservoir, it is difficult to fully use the runoff forecast information with errors
These problems will reduce the accuracy of scheduling decisions, and cannot maximize the use of water resources and maximize benefits

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Reservoir real-time water storage scheduling method based on ensemble forecast
  • Reservoir real-time water storage scheduling method based on ensemble forecast
  • Reservoir real-time water storage scheduling method based on ensemble forecast

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The ensemble forecast-based real-time water storage scheduling method for reservoirs involved in the present invention will be described in detail below in conjunction with the accompanying drawings.

[0049]

[0050] Such as figure 1 As shown, the real-time water storage scheduling method based on ensemble forecast provided in this embodiment includes the following steps:

[0051] Step 1. Determine the total duration of the dispatch period (from the facing period to the end of the impoundment period), determine the forecast period of the ensemble forecast, and divide the entire dispatch period into the forecast period and the remaining period (period without forecast data):

[0052] T=H+HR,

[0053] In the formula, T is the length of the current scheduling period, H is the length of the forecast period (fixed value), and HR is the length of the remaining period.

[0054] Step 2. Determine the runoff input data for the forecast and residual periods. Using ensemble fo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention provides a reservoir real-time water storage scheduling method based on ensemble forecast, the utilization efficiency of various runoff data can be improved, and a scheduling result is optimized. The method is characterized in that the method comprises the following steps of (1) determining a total time length from a facing period to the end of a water storage period in a current scheduling period, determining a forecast period length of the ensemble forecast, and dividing the whole scheduling period into a forecast period and a remaining period, (2) determining runoff input data in the forecast period and the remaining period, (3) establishing a reservoir optimal scheduling model, (4) obtaining a scheduling decision table of the current facing period, (5) consulting the scheduling decision table according to a current reservoir capacity and the inflow condition when an actual inflow situation happens, carrying out interpolation calculation, and obtaining the reservoir capacity at the end of the period, and (6) repeating the steps (1) to (5) day by day for a whole water storage period, updating forecast information, obtaining a scheduling decision table of each day, guiding the real-time scheduling of each day, and then completing the scheduling of the whole water storage period.

Description

technical field [0001] The invention belongs to the field of reservoir forecasting and dispatching operation, and in particular relates to a real-time reservoir dispatching method based on collective forecasting. technical background [0002] Reservoir regulation achieves the purpose of benefiting and eliminating harm by changing the temporal and spatial distribution of natural runoff. In order to survive the floods safely, the reservoirs generally vacate their storage capacity gradually before the flood season, maintain the limited water level during the flood season, start storing water at the end of the flood season, and gradually raise the water level to the normal storage level, and then enter the water supply period. Whether the reservoir can be fully stored within the water storage period will affect the comprehensive benefits of power generation, shipping, and water supply during the water supply period of the next year. [0003] In the current dispatching practice,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0631G06Q50/06
Inventor 李赫刘攀明波冯茂源张晓琦谢艾利
Owner WUHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products