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Method for researching adaptability of reservoir group scheduling rule types and parameters to climatic changes

A technology for climate change and reservoir groups, applied in data processing applications, special data processing applications, multi-objective optimization, etc.

Active Publication Date: 2021-01-05
BUREAU OF HYDROLOGY CHANGJIANG WATER RESOURCES COMMISSION
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  • Summary
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  • Application Information

AI Technical Summary

Problems solved by technology

For the optimal operation of reservoir groups, there are few studies on the types of reservoir operation rules and the adaptability of parameters to climate change. At present, the types of reservoir operation rules such as operation functions and operation diagrams are often used, but these methods are mainly based on experience, and the theoretical basis is relatively weak. Weak, especially for reservoir group scheduling, there is no general scheduling rule type

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  • Method for researching adaptability of reservoir group scheduling rule types and parameters to climatic changes
  • Method for researching adaptability of reservoir group scheduling rule types and parameters to climatic changes
  • Method for researching adaptability of reservoir group scheduling rule types and parameters to climatic changes

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Embodiment Construction

[0109] The technical solutions of the present invention will be further specifically described below through the embodiments and in conjunction with the accompanying drawings.

[0110] The present invention fully considers the optimal scheduling mode of reservoir groups under future climate change, by establishing a multi-objective optimal scheduling model, fitting and synthesizing different types of reservoir group scheduling rules, coupling distributed hydrological models and GCM models, and integrating historical runoff series and future climate scenarios For the runoff series, the establishment of a multi-index system and the use of uncertainty analysis techniques to study the adaptability of dispatching rule types and parameters will enable the reservoir group to operate more efficiently and stably under the future climate model. See attached for specific process figure 1 .

[0111] A method for studying the adaptability of reservoir group scheduling rules and parameters...

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Abstract

The invention provides a method for researching the adaptability of reservoir group scheduling rule types and parameters to climatic changes, which comprises the following steps of: carrying out synthesis and stability evaluation on different scheduling rules by carrying out reservoir group scheduling rule type and parameter response mechanism research under the climatic changes, and proposing a stable and reliable reservoir group scheduling rule type. The evolution mechanism of the scheduling rule to climatic change is disclosed through the adaptability of the type and parameters, theoreticalsupport can be provided for reservoir group optimization scheduling under the climatic change condition, and then an important scientific basis can be provided for relieving energy shortage and guaranteeing sustainable utilization of water resources and sustainable development of national economy. And the method has important theoretical and practical significance.

Description

technical field [0001] The invention belongs to the technical field of reservoir group dispatching, and in particular relates to an adaptability research method for reservoir group dispatching rule types and parameters in consideration of future climate change. Background technique [0002] With the rapid development of our country's economy and society, the demand for energy is increasing day by day. The shortage of energy and the contradiction between energy and environment have become important problems for the sustainable development of today's society. Due to its renewable, low cost and easy development and utilization, hydropower has been paid more and more attention in the national energy development. [0003] my country's hydropower reserves rank first in the world, and the technology is expected to develop an installed capacity of 402 million kW. Although the current total installed capacity has reached 200 million kW, accounting for 36% of the technologically deve...

Claims

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Application Information

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IPC IPC(8): G06Q50/06G06Q10/06G06F30/20G06F111/06G06F111/04
CPCG06Q10/063G06Q10/06393G06Q50/06G06F30/20G06F2111/04G06F2111/06
Inventor 李立平徐高洪戴明龙张新田李妍清黄燕刘冬英陈玺张冬冬王含汪青静
Owner BUREAU OF HYDROLOGY CHANGJIANG WATER RESOURCES COMMISSION
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