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Distributed-power-source-containing power distribution network reconfiguration method and system

A technology for distribution network reconstruction and distributed power supply, applied in the field of power system, can solve the problem of algorithm falling into local optimum, improve the convergence ability, improve the reconstruction effect, and overcome the effect of falling into local optimum

Inactive Publication Date: 2016-10-12
GUANGDONG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0004] At present, the Cuckoo Search Algorithm (CSA) algorithm has been used to solve the distribution network reconfiguration problem, but due to the requirements of the model on the performance of the algorithm, the algorithm often falls into a local optimum during the search process.

Method used

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Embodiment Construction

[0048] The core of the present invention is to provide a distribution network reconstruction method and system with distributed power, which applies the idea of ​​small-world network to particle optimization, so that all particles in the population are connected, and the diffusion of excellent particles is accelerated and expanded. range, the overall population convergence ability has been greatly improved.

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creativ...

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Abstract

The invention discloses a distributed-power-source-containing power distribution network reconfiguration method and system. The method includes the steps that a power distribution network reconfiguration model with a distributed power source is built, and a population is initialized; a small-world initial network is built, and an adjacent matrix is obtained; the positions of particles in the initial population are updated with the intelligent optimizing algorithm, a new particle population is obtained, and the fitness of all the particles in the new particle population is calculated; the particles in the particle population are subjected to crossover operation through the adjacent matrix, and excellent particles are diffused to the whole population; 50% of poor particles are eliminated through competition operators; when the maximum preset iteration time number is achieved, the power distribution network reconfiguration result with the distributed power source is output. The whole performance and the convergence capacity of the algorithm are improved, and the defect that an algorithm gets into local optimum in the searching process can be overcome accordingly.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a method and system for reconfiguring a distribution network including distributed power sources. Background technique [0002] With the continuous rise of distributed power in the energy field, its research and application continue to expand. Distributed power generation includes wind power generation, small-scale hydropower generation, photovoltaic power generation and fuel cells, etc. Due to its environment-friendly characteristics, the research on the reconstruction of distribution network access to distributed power generation has received extensive attention. [0003] The distribution network is a bridge connecting the transmission network and the user end. It has the characteristics of closed-loop design and switch operation. The network radiation state is achieved through the on-off combination of the section switch and the tie switch. Distribution network reconfiguration is...

Claims

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Application Information

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IPC IPC(8): H02J3/38
CPCH02J3/381H02J2203/20
Inventor 李德强殷豪
Owner GUANGDONG UNIV OF TECH
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