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An optimization method for ecological operation of cascade reservoirs considering historical trajectory knowledge

A technology of historical trajectory and cascade reservoirs, applied in climate change adaptation, instruments, data processing applications, etc., can solve problems such as local convergence of DDDP, achieve the effect of overcoming local convergence problems and improving global search capabilities

Active Publication Date: 2022-05-31
CHANGJIANG SURVEY PLANNING DESIGN & RES
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Problems solved by technology

[0008] The purpose of the present invention is to address the deficiencies of the above-mentioned technologies, to provide a cascade reservoir group ecological scheduling optimization method that considers historical trajectory knowledge, and to solve the local convergence problem that DDDP exists when solving complex hydropower system optimal scheduling solutions

Method used

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  • An optimization method for ecological operation of cascade reservoirs considering historical trajectory knowledge
  • An optimization method for ecological operation of cascade reservoirs considering historical trajectory knowledge
  • An optimization method for ecological operation of cascade reservoirs considering historical trajectory knowledge

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Embodiment Construction

[0030] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

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[0073] 9) Stop the calculation and output the final optimal trajectory.

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[0081] When DDDP is applied to the optimal solution of this problem, as the number of power stations and discrete numbers increase, it is easy to fall into local convergence.

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Abstract

The present invention relates to the technical field of ecological dispatching of cascade reservoirs, and discloses an optimization method for ecological dispatching of cascade reservoirs considering historical trajectory knowledge. After the initial dispatching process is given, the discrete differential dynamic programming method (DDDP) is used as the basic framework. First, Before each iteration, by mining the knowledge information carried by the historical trajectory process, the current trajectory is subjected to variable-scale center-of-gravity reverse learning to obtain an optimized trajectory with better results; then discrete iterative solutions are performed on the basis of the optimized trajectory; The optimization is successively approaching the global optimal solution. The present invention considers the historical track knowledge cascade reservoir group ecological scheduling optimization method, fully utilizes the historical track knowledge information, mines and generates diverse search information through variable-scale center-of-gravity reverse learning, improves the global search ability, and effectively overcomes the traditional algorithm local convergence problem.

Description

Optimization method for ecological dispatch of cascade reservoir groups considering historical trajectory knowledge technical field The present invention relates to cascade reservoir group ecological dispatch technical field, be specifically related to a kind of ladder considering historical track knowledge The optimization method of ecological dispatching of reservoir group. Background technique [0002] Along with the rapid development of my country's water conservancy undertakings, large-scale cascade reservoirs in various basins have been continuously built and operated. It has exerted huge social and economic benefits such as flood control, power generation, and shipping, but it has also drastically changed the original natural runoff water. It also has many adverse effects on the structure and engineering of river ecosystems, including channel shrinkage, sediment siltation accumulation and reduction of biodiversity. In order to alleviate the negative impact of r...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06F17/17G06F16/2458G06Q50/06
CPCG06Q10/04G06Q10/0631G06F17/17G06F16/2465G06Q50/06Y02A10/40
Inventor 邹强鲁军王学敏洪兴骏李肖男严凌志
Owner CHANGJIANG SURVEY PLANNING DESIGN & RES
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