Power transmission network topology structure design method based on particle swarm optimization

A technology of network topology and particle swarm algorithm, applied in the field of physics, can solve problems such as weak global search ability, reduced search efficiency, and influence on the effect of power transportation network topology design, so as to improve local search ability and robustness , Enhance the effect of deep search ability

Active Publication Date: 2015-06-03
XIDIAN UNIV
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Problems solved by technology

The feature of this method is that it is simple and easy to use. However, the shortcomings of this method are that the global search ability is weak in the optimization process, and the search process is similar to exhaustiv

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  • Power transmission network topology structure design method based on particle swarm optimization
  • Power transmission network topology structure design method based on particle swarm optimization
  • Power transmission network topology structure design method based on particle swarm optimization

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings.

[0044] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0045] Step 1, setting parameters: set the population size of the particle swarm to 8, set the inertia weight of the particle swarm algorithm to 0.5, set the acceleration factors c1 and c2 of the particle swarm algorithm to 6 and 3 respectively, the particle swarm algorithm The maximum number of iterations is set to 6250.

[0046] Step 2, initialize the population.

[0047] Read in the power transportation network that needs to be optimized, randomly select two edges from the topology of the power transportation network, and the connection edge e between nodes i and j ij and the connection edge e between nodes l and k lk , and delete it, and establish a new connection edge e between nodes i and k ik , establish a new connection edge e between nodes j and l jl , t...

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Abstract

The invention discloses a power transmission network topology structure design method based on particle swarm optimization. The power transmission network topology structure design method comprises the following steps: (1) setting parameters; (2) initializing swarms; (3) generating a novel individual; (4) generating novel individual optimum and global optimum; (5) generating a novel swarm; (6) judging the present iteration times, if the maximum iteration times are met, executing step (7), or else executing step (3); (7) outputting an optimal power transmission network. In the process that a power transmission network topology structure is designed, the network robustness is taken as the individual evaluation standard, effective operation such as encoding, individual operator updating and domain swarm self-generation are designed, a particle swarm optimization frame is adopted, and the power transmission network topology structure with high robustness can be designed.

Description

technical field [0001] The present invention belongs to the technical field of physics, and further relates to a method for designing a topology structure of an electric power transportation network based on a particle swarm optimization (PSO) algorithm in the technical field of physical network design. The invention can be used to design the topological structure of the electric power transportation network, so that when it is attacked or disturbed, the functions of the electric power transportation network can be kept intact to the greatest extent, and the attacked or disturbed can be effectively resisted. Background technique [0002] Network robustness (Network robustness) is an important attribute of the network. It refers to a measure of whether the network can maintain perfect functions or continue to work when it is attacked, damaged or disturbed. In the power transportation system, power stations, substations, etc. are abstracted into complex network nodes, and tran...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06F30/18
Inventor 刘静焦李成马亮亮屈嵘张青富马文萍马晶晶
Owner XIDIAN UNIV
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