Recognition method for vulnerable lines of power system

Abstract

The invention discloses a recognition method for vulnerable lines of a power system. The recognition method comprises the steps that 1, running state parameters of a current power system are collected, and the real power flow P<m> of one line in the power system is determined; 2, an N-1 safety verification result is determined according to the real power flow P<m> of the line, so that an influence degree matrix S of a correlation network of the current power system is solved; 3, an extensive matrix S<extend> is obtained according to the influence degree matrix S; 4, a PageRank convergency value of the corresponding line is calculated according to the extensive matrix S<extend> to determine the vulnerable degree of the line. According to the recognition method for the vulnerable lines of the power system, by collecting the running state parameters of the current power system and constructing the correlation network and the extensive matrix, the PageRank convergency values of all the lines are accurately calculated to determine the vulnerable degrees of all the lines, therefore, large-sample cascading failure simulation is prevented from being performed, and the recognition efficiency is improved on the premise that the recognition accuracy is guaranteed.

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 power system. Background technique [0002] The vast majority of blackouts are caused by cascading failures. Through the analysis of blackout accidents caused by cascading failures, it can be seen that the direct cause is the withdrawal of some equipment. From the perspective of power system cascading failure prevention, effective identification of such equipment (that is, vulnerable equipment) will help operation dispatchers strengthen the protection of corresponding equipment, thereby reducing the risk of cascading failures in the system to a certain extent. In addition, considering that in the actual power system operation, the transmission line is more likely to exit than other components, so the identification of vulnerable lines has very important practical significance. [0003] The traditional vulnerable line identifi...

AI Technical Summary

Problems solved by technology

The time-consuming of cascading failure simulation is related to the subsequent Monte Carlo sampling results. Each level of cascading failure needs to be re-calculated for power flow. The longer the series, the longer the time-consuming

[0007] (2) The follow-up development of cascading failures is closely related to Monte Carlo sampling, which has strong randomness

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