Power grid differentiation-based core backbone network architecture construction method

Abstract

The invention discloses a power grid differentiation-based core backbone network architecture construction method. The importance of lines and nodes in a power system are taken into comprehensive account, the knowledge of a risk theory is referenced, the importance of the lines is obtained by calculating risk indicators of the lines, and the importance of the nodes is evaluated based on the knowledge of a graph theory; and a core backbone network architecture searching model is constructed based on the importance of the lines and the nodes, and network architectures are searched by a particle swarm algorithm to obtain the lines and the nodes for constructing a core backbone network architecture. The importance of the lines is evaluated by line returning risks, so that the importance of the lines can be better reflected from the point of electrical quantity variation; and a fuzzy-membership-based line returning risk evaluation method more consistent with actual conditions is provided, and the influence of uncertain factors of the power system is taken into comprehensive account.

Description

Technical field [0001] The present invention relates to the differentiated planning of the power system, and more specifically relates to the construction of the core backbone network framework for the differentiated planning of the power grid. Background technique [0002] In recent years, extreme natural disasters have caused frequent occurrences of incidents affecting the safe operation of power grids and normal power supply, causing huge economic losses and serious social impacts. Due to different factors such as the geographical location and external weather conditions of different lines, the degree of strength required in the face of natural disasters is also different. The differentiated design of the power grid, the construction of the core backbone grid, and the strengthening of the core backbone grid to enhance the power grid's ability to fight natural disasters have gradually attracted people's attention. The differentiated planning of the power grid is to carry out t...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that it does not consider the node failure, and does not consider the node importance and line importance when calculating

Moreover, the original discrete particle swarm optimization algorithm has the disadvantages of slow convergence speed and low efficiency when searching for the construction plan of large systems.

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