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Feasible searching method of optimizing scheduling of reservoir

A technology of optimal scheduling and search method, applied in the feasible search field of reservoir optimal scheduling, to achieve the effect of high execution efficiency, convenient human-computer interaction, and improved work efficiency

Inactive Publication Date: 2007-05-30
WUHAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0019] The technical problem to be solved by the present invention is to provide a feasible search method for optimal scheduling of reservoirs to overcome the defects of the prior art, especially to make positive contributions to effectively deal with optimal scheduling problems of reservoirs with complex constraints

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  • Feasible searching method of optimizing scheduling of reservoir
  • Feasible searching method of optimizing scheduling of reservoir
  • Feasible searching method of optimizing scheduling of reservoir

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Embodiment Construction

[0036] The present invention is a feasible search method for optimal scheduling of reservoirs, which has applications in the application of optimal scheduling of a single reservoir, application of optimal scheduling of reservoir groups, application of optimal allocation of water resources, and other applications use in .

[0037] Below in conjunction with embodiment and accompanying drawing, the feasible search method of optimal scheduling of reservoir of the present invention is further described:

[0038] 1. Determination of the maximum feasible range of the reservoir water level trajectory

[0039] The water level of the reservoir has different requirements in different operation periods. Usually, the water level of the reservoir is required to be controlled between the normal water storage level and the dead water level in the non-flood season, and between the flood control limit water level and the dead water level in the flood season. Sometimes due to some special circum...

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Abstract

The invention relates to a feasible search method for reservoir optimum dispatching, all collected data is compressed by the computer, forms the feasible search method for single reservoir optimum dispatching with complex constraint conditions or reservoir clusters optimum dispatching and the reservoir optimum dispatching with water resources optimal allocation; the steps of invention contain forward recur the feasible extent of water level operating trace, backward recur the feasible extent of water level operating trace, determine the largest feasible extent of water level operating trace, choose the feasible extent of water level operating trace and choose the optimum answer of reservoir optimum dispatching. The invention can define the feasible trace extent in the dispatching period of reservoir; guarantees all answers are feasible solutions; convenient for man-machine interaction, help the decision maker make decision; the thinking route of invention is intelligible, simplicity and utility, and high executing efficiency, and it fits for single reservoir optimum dispatching with complex constraint conditions, and also fits for reservoir clusters optimum dispatching and the water resources optimal allocation.

Description

technical field [0001] The invention relates to the technical field of optimal scheduling of reservoirs, in particular to a feasible search method for optimal scheduling of reservoirs. Background technique [0002] Reservoir optimal dispatching is the problem of optimal selection of reservoir operation strategy according to the forecasted inflow flow, given the initial water level and end water level of the calculation period and the comprehensive utilization requirements of each calculation period. It has been widely concerned by the industry because it can obtain huge economic and social benefits without increasing any engineering costs. [0003] Since American Mases first introduced the concept of optimization into reservoir dispatching in the 1940s, more and more methods have been used for reservoir dispatching optimization, which can generally be divided into linear programming, nonlinear programming, dynamic programming and its improvement methods, Genetic algorithm, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q50/00G06Q10/06G06Q50/06
Inventor 艾学山
Owner WUHAN UNIV
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