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Hydropower station scheduling method and system based on particle swarm-bacterial foraging

A technology for bacteria foraging and hydropower stations, applied in data processing applications, forecasting, instruments, etc., can solve the problems of low solution accuracy and efficiency, and achieve good global search capabilities, optimal scheduling strategies, and good local search capabilities

Active Publication Date: 2019-04-16
HUAZHONG UNIV OF SCI & TECH +1
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Problems solved by technology

[0004] In view of the above defects or improvement needs of the prior art, the present invention provides a hydropower station dispatching method and system based on particle swarm-bacteria foraging, thereby solving the problem of solution accuracy and efficiency of the traditional particle swarm optimization algorithm and bacteria optimization algorithm lower technical issues

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  • Hydropower station scheduling method and system based on particle swarm-bacterial foraging

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[0025] 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.

[0026] The invention introduces the characteristics of the BFO algorithm, and uses the chemotaxis step of the BFO algorithm to update the position of the particles whose fitness value after updating in the PSO algorithm is smaller than that of the previous generation. A hybrid particle swarm-bacteria foraging optimization algorithm (PSO-BFO) is proposed to determine the water level, power genera...

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Abstract

The invention discloses a hydropower station scheduling method and a system based on particle swarm-bacterial foraging. The method is applied to the hydropower station optimal scheduling field. The method aims at the characteristics of high-dimensional nonlinearity and dynamism of hydropower station optimization scheduling. one particle in the particle swarm algorithm is regarded as an operation strategy of a hydropower station; an optimal result is obtained by using a hybrid algorithm. The method comprises the following steps of: calculating and updating the positions and speeds of particlesby using a PSO algorithm; according to the method, the particle swarm optimization algorithm is adopted to complete the search of the whole space and memorize the optimal information of individuals and populations of particles, then part of particles in the particle swarm are regarded as a bacterium, the function of local search is completed through the tendency operation of the BFO algorithm, theadvantages of the two algorithms are brought into full play, and the precision and efficiency of hydropower station optimization scheduling solution are improved.

Description

technical field [0001] The invention belongs to the field of optimal dispatching of hydropower stations, and more specifically relates to a method and system for dispatching hydropower stations based on a particle swarm-bacteria foraging optimization algorithm. Background technique [0002] Hydropower station scheduling is a highly constrained, nonlinear and multi-stage combinatorial optimization problem. The traditional particle swarm optimization algorithm (Particle Swarm Optimization, PSO) applied to hydropower station dispatching has the problem of fast convergence speed but easy to fall into local extremum and strong dependence on parameters, while the bacteria optimization algorithm (Bacteria Foraging Optimization, BFO) has the ability of global search Strong but inefficient features. [0003] Therefore, how to improve the accuracy and efficiency of hydropower station optimal dispatch is a technical problem that needs to be solved urgently. Contents of the invention...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06N3/00
CPCG06N3/006G06Q10/04G06Q50/06Y04S10/50
Inventor 莫莉邹义博陈燕平王永强舒生茂彭璐谌沁向益奇
Owner HUAZHONG UNIV OF SCI & TECH
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