Node failure recovery method for micro network

Abstract

The invention provides a node failure recovery method for a micro network. The method comprises the following steps that cells are defined, namely, network nodes are classified into different cells, and the same community is set for the nodes classified in the same cell; the network nodes are initialized, namely, according to the mutual relations among the nodes in the same cell, network node roles, network node attributes and network node fields are set, and a single point failure recovery path of each node is precomputed; node failure recovery paths are determined; namely, when any node in the cells has failures, a single point failure negotiation process is carried out; when a plurality of nodes have failures, a failure recovery path dynamic calculation process and a multipoint failure negotiation process are carried out on each failure node in sequence. The node failure recovery method for the micro network is realized on the basis of the thought of local optimum and collective wisdom and efforts, and can rapidly and effectively recovery single point failures, rapidly recovery multipoint failures in the mode of local optimum, avoid tedious calculation and effectively accumulate failure removing experience.

Description

Technical field [0001] The present invention relates to the field of complex micro-networks, in particular to the improvement of a fault recovery method for a "grid type" complex micro-network. Background technique [0002] In power networks, traditional failure recovery methods for complex micro-networks are only suitable for linear programming, artificial intelligence optimization algorithms and heuristic methods. The use of traditional fault recovery methods requires power flow calculations to verify the feasibility of each solution, so a large number of calculations are required, so the time and efficiency often cannot meet the requirements of complex micro-networks to quickly and reasonably recover from faults. [0003] With the development of communication and automation technology and the construction and transformation of power equipment, the current grid network structure dominated by complex micro-networks has become more and more complex, and only relying on manpower can...

AI Technical Summary

Problems solved by technology

[0002] In the power network, the traditional fault recovery methods for complex micro-networks are only suitable for linear programming, artificial intelligence optimization algorithms and heuristic methods

The traditional fault recovery method requires power flow calculations to verify the feasibility of each solution, so a large amount of calculation is required, so it is often unable to meet the requirements of complex micro-networks for fast and reasonable recovery of faults in terms of time and efficiency.

[0003] With the development of communication and automation technology and the construction and transformation of power equipment, the current grid network structure dominated by complex micro-networks has become more and more complex. Relying on manpower alone can no longer meet the needs of development, and this fault recovery The method is inefficient and cannot form an effective accumulation of effective fault recovery experience

However, the use of some artificial intelligence optimization algorithms mentioned above involves a large amount of calculations, which cannot meet the requirements of fast, effective and reasonable

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