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Reservoir group adaptive scheduling method and system

A scheduling method and technology for reservoir groups, applied in data processing applications, instruments, artificial life, etc., can solve problems such as high complexity and "dimension disaster"

Active Publication Date: 2020-07-28
HUAZHONG UNIV OF SCI & TECH
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  • Abstract
  • Description
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Problems solved by technology

[0012] Aiming at the above defects or improvement needs of the prior art, the present invention provides a reservoir group adaptive scheduling method and system, thereby solving the "dimension disaster" and high complexity technology existing in the traditional optimization method in solving cascaded reservoir problems question

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  • Reservoir group adaptive scheduling method and system
  • Reservoir group adaptive scheduling method and system
  • Reservoir group adaptive scheduling method and system

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Embodiment Construction

[0058] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0059] Coevolution search algorithm (Coevolution search algorithm) is a new heuristic optimization algorithm, inspired by modern enterprise teamwork behavior, by using team communication operators to improve global exploration and identify promising search spaces, self-learning operators use It has the advantages of being simple and easy to implement in order to realize the fusion between explor...

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Abstract

The invention discloses a reservoir group adaptive scheduling method and system, and belongs to the field of water resource utilization. An initial population is generated in a search space, the fitness value of each individual in the population is evaluated, the individual optimal position and the global optimal position in the population are updated, global exploration is performed by adopting aglobal exploration strategy in the coevolution algorithm so as to improve the population convergence rate, and local search is performed by adopting a local development strategy in the coevolution algorithm so as to improve the individual precision. Individual positions in the population are updated through iterative evolution, and an individual output corresponding to the globally optimal solution is taken as a final solution after a search stop condition is reached. Examples prove that the method has good convergence rate and search precision, can coordinate the relationship between exploration and development, effectively solves the problem of cascade reservoir group scheduling, and significantly improves the economic benefits of the whole power grid.

Description

technical field [0001] The invention belongs to the field of water resources utilization, and more specifically relates to a reservoir group adaptive scheduling method and system. Background technique [0002] With the development of science and technology, hydropower energy has been developed and utilized on a large scale. There are electrical and hydraulic connections between cascade hydropower stations. The power generation and discharge of the upper-level hydropower stations have a significant impact on the lower-level hydropower stations. Among them, the objective function of dispatching adopts the maximum generating capacity of cascade hydropower stations, and the specific formula is: Among them, N represents the number of power stations; T represents the scheduling period; P i,t is the output of the i-th hydropower station in the t-th period; Δ t Indicates the time interval of the tth period, such as the number of hours; [0003] The constraints that need to be me...

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Application Information

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IPC IPC(8): G06Q50/06G06Q10/06G06N3/00
CPCG06Q50/06G06Q10/0631G06N3/006Y04S10/50
Inventor 冯仲恺牛文静刘帅蒋志强
Owner HUAZHONG UNIV OF SCI & TECH
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