Method for drawing up multi-goal reservoir optimization scheduling graph capable of being self-adaptive to climate change

A multi-objective optimization and climate change technology, applied in special data processing applications, instruments, calculations, etc., can solve the problem of ignoring the ecological water demand of the downstream of the reservoir and the reservoir area, little research on climate change adaptation, and only reservoir optimization and scheduling diagrams. Pay attention to issues such as the law of inflow runoff changes, to achieve the effect of improving economic and ecological benefits

Active Publication Date: 2013-04-17
WUHAN UNIV
View PDF3 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing reservoir optimal operation diagram has the following deficiencies: (1) it only pays attention to the social and economic functions of the reservoir, and strives to maximize economic benefits, ignoring the ecological water requirements of the downstream of the reservoir and the reservoir area; (2) the reservoir optimal operation diagram only pays attention to The current law of inflow runoff changes, and there is little research on adaptation to future climate change

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
  • Method for drawing up multi-goal reservoir optimization scheduling graph capable of being self-adaptive to climate change
  • Method for drawing up multi-goal reservoir optimization scheduling graph capable of being self-adaptive to climate change
  • Method for drawing up multi-goal reservoir optimization scheduling graph capable of being self-adaptive to climate change

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Based on the GCM and VIC coupling model, the present invention predicts and forecasts the runoff of the reservoir under the scenario of future climate change, and establishes a reservoir multi-objective scheduling diagram optimization model that balances scheduling objectives such as flood control, water supply, power generation, and ecology, and ensures the safety of reservoir flood control. Next, seek the self-adaptive multi-objective optimization scheduling diagram with the maximum comprehensive benefit of the reservoir, the specific process is shown in figure 1 .

[0024] The technical solutions of the present invention will be further specifically described below through the embodiments and in conjunction with the accompanying drawings.

[0025] A method for compiling multi-objective optimal dispatch diagrams of reservoirs adaptive to climate change, comprising the following steps:

[0026] Step 1. Establish a coupled model of the Global Climate Model (GCM) and th...

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 invention discloses a method drawing up a multi-goal reservoir optimization scheduling graph capable of being self-adaptive to climate change. The method for drawing up the multi-goal reservoir optimization scheduling graph comprises the steps of: step 1. establishing a coupling model of a global climate model (GCM) and a variable infiltration capacity (VIC) hydrological model so as to forecast a run-off process under a future climate change scene; step two. establishing a multi-goal reservoir optimization scheduling graph model; and step 3. taking the forecast run-off process data under the future climate change scene as the input of the optimization scheduling graph model, and drawing up the multi-goal optimization scheduling graph model by adapting a self-adaptive genetic algorithm. The method for drawing up the multi-goal reservoir optimization scheduling graph has the advantages of balancing the social economy goal and ecological goal of reservoir scheduling, improving the comprehensive benefits of reservoir scheduling to the maximum degree on the condition of ensuring the flood control safety of a reservoir and being capable of being self-adaptive to future climate change and being widely applied to the production practice of multi-goal reservoir optimization scheduling.

Description

technical field [0001] The invention belongs to the technical field of reservoir optimal dispatching diagrams, in particular to a method for compiling a multi-objective optimal dispatching diagram of reservoirs adaptive to climate change. Background technique [0002] Reservoir scheduling diagrams have the advantages of intuition, convenience in application, and easy reflection of the time continuity of scheduling rules, and are widely used in production practice. According to whether the optimization method is used or not, the reservoir operation diagram can be divided into conventional operation diagram and optimized operation diagram. The existing reservoir optimal operation diagram has the following deficiencies: (1) it only pays attention to the social and economic functions of the reservoir, and strives to maximize economic benefits, ignoring the ecological water requirements of the downstream of the reservoir and the reservoir area; (2) the reservoir optimal operation...

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): G06F19/00
Inventor 周研来郭生练陈华刘攀汪芸
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