Vulnerable line recognition method for power distribution network

Abstract

The invention discloses a vulnerable line recognition method for a power distribution network, and the method comprises the steps: calculating the active degree and improved betweenness of a line according to a system structure of the power distribution network; calculating the potential safety hazard vulnerability of the line according to the load impact and the condition of a fault line; calculating the weight coefficient of each index through an analytic hierarchy process, integrating all indexes and factors according to the weights, and obtaining the vulnerability index of the line of thepower distribution network. According to the scheme of the invention, the method gives full consideration to the structural characteristics and operation characteristics of the power distribution network. Compared with a conventional vulnerability evaluation index, the indexes can reflect the importance of the line in a system topological structure, and also can reflect the potential safety hazardvulnerability of the line under the load impact and fault line breakage. The vulnerable line in the power distribution network can be recognized more reasonably and effectively according to the calculated value of the integrated vulnerability index.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a method for identifying vulnerable lines in a distribution network. Background technique [0002] In recent years, frequent blackouts at home and abroad have attracted widespread attention. Taking the 2003 American and Canadian blackouts and the 2006 Western Europe blackouts as examples, the occurrence of many blackouts has seriously affected people's normal life and caused huge Economic losses. Accident analysis shows that large-scale power outages often start from the cascading failure of individual components, and are closely related to the vulnerable links in the power system during the propagation and expansion stage of the accident. Therefore, it is of great significance to accurately identify the vulnerable links in the power system and take corresponding control strategies to improve the security of the power system and reduce the probability of failure. [0003]...

AI Technical Summary

Problems solved by technology

[0004] However, when introducing research methods such as complex network theory, the definition of most vulnerability indicators is still considered relatively simple, and the structural characteristics and operating characteristics of the power system are rarely combined effectively.

These indicators cannot simultaneously reflect both the structural importance and the security risks during system operation

It can be seen that the existing vulnerable line identification methods still need to be improved

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