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A joint optimal dispatching method for cascade power stations based on step-by-step optimization with variable stages

A joint optimization and cascade power station technology, applied in data processing applications, forecasting, instruments, etc., to achieve the effect of improving solution efficiency, overcoming local convergence problems, and improving global search capabilities

Active Publication Date: 2019-11-12
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

Enhance the search ability of the algorithm and solve the local convergence problem caused by factors such as the overlapping of water heads between steps and the optimization order of the step-by-step optimization algorithm

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  • A joint optimal dispatching method for cascade power stations based on step-by-step optimization with variable stages
  • A joint optimal dispatching method for cascade power stations based on step-by-step optimization with variable stages
  • A joint optimal dispatching method for cascade power stations based on step-by-step optimization with variable stages

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Embodiment Construction

[0021] 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.

[0022] The present invention takes Xiluodu Xiangjiaba cascade hydropower stations in the lower reaches of the Jinsha River as an example, and conducts medium- and long-term optimal dispatch simulations for many years to reflect the effectiveness and rationality of the present invention.

[0023] Xiluodu and Xiangjiaba are cascade hydropower stations built and put into operation among the four ca...

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Abstract

The present invention discloses a variable-stage gradual optimization based joint optimization scheduling method for cascaded hydropower stations. The method comprises: step 1, acquiring an initial scheduling process of each hydropower station, and performing water level regulation in a constraint search manner; step 2, fixing water levels of an ith node and an (i+VP)th node, and performing optimization calculation for problems in VP stages by adopting a differential evolution algorithm; step 3, selecting a population size NP, wherein initial individuals are adjustable points of the cascaded hydropower stations; step 4, obtaining a water level process line of each cascaded hydropower station; step 5, by using the water level process line of each hydropower station obtained in the step 4 as an initial trajectory, repeating the steps 2 to 5 until a variable-stage convergent condition is satisfied; step 6, setting VP to be equal to the sum of VP and 1; repeating the steps 2 to 5 until a final convergent condition is satisfied; and step 7, ending the calculation, and obtaining an optimal water level process line of each hydropower station. The method disclosed by the present invention has very good global search capability for solving the problem in joint optimization scheduling of the cascaded hydropower stations, and effectively solves the local convergence problem of a conventional algorithm.

Description

technical field [0001] The invention belongs to the field of optimized operation of hydropower energy, and more specifically relates to a cascade power station joint optimal dispatching method based on step-by-step optimization of variable stages. Background technique [0002] The joint optimal dispatching of cascade hydropower stations is a large-scale, multi-constraint, dynamic and nonlinear optimization problem. With the gradual expansion of the system scale, it becomes more and more difficult to solve. Although the traditional dynamic programming algorithm has a "curse of dimensionality" in solving cascade optimization problems, the solution takes a long time. Although the intelligent optimization algorithms currently used to solve the joint optimization scheduling problem of cascade hydropower stations include ant colony algorithm, genetic algorithm, discrete differential dynamic programming method, and differential evolution algorithm, these intelligent optimization al...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 周建中莫莉刘懿陈璐严冬曾小凡闫宝伟覃晖孙怀卫赵娜蒋志强李远征张诚袁柳王超卢鹏乔祺吴巍汪洋欧阳文宇常楚阳高新稳
Owner HUAZHONG UNIV OF SCI & TECH
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