A Simulation and Simulation Method of Power Grid Complex Sequential Faults Under Extreme Disaster Meteorological Conditions

Abstract

The invention discloses a method for simulating complicated cascading failures of power grids under extreme meteorological disaster conditions. The method comprises the following steps: reading all the failure set lines, calculating and merging the line lengths, and calculating the total line length; selecting failure lines according to the total line length and correspondingly setting line failures; determining the time lengths and intervals of the failures and randomly generating group-occurring successive failures; setting a simulation termination criterion which comprises a splitting criterion, a power angle instability criterion and a network resolving non-convergence criterion; and carrying out time domain simulation on the generated group-occurring successive failures until a termination condition of the simulation termination criterion is satisfied. According to the method, the conventional large power grid breakdown analysis method which takes load flow calculation and line overload as basic means is expanded, and the time domain simulation of detailed models is considered, so that the disturbance factors and performance characteristics in the blackout evolution process can be reflected more comprehensively.

Description

technical field [0001] The invention relates to a method for simulating and simulating complex successive failures of power grids under extreme disaster meteorological conditions. Background technique [0002] At present, experts and scholars at home and abroad have conducted a lot of research on the collapse of large power grids, trying to reveal the mechanism of power grid collapse. Since the grid collapse is not only determined by the physical properties of the grid, the random disturbances suffered by the grid and the operation instructions issued by the grid dispatcher will also have a negative or positive impact on the evolution of the grid collapse. Analysis is extremely complex. In view of the impact of the physical properties of the power grid on the collapse of the power grid, experts and scholars at home and abroad believe that the power grid has a typical self-organized criticality (Self-Organized Criticality, SOC), and have successively proposed three types of ...

AI Technical Summary

Problems solved by technology

[0004] However, taking the large-scale line galloping event caused by extreme disaster weather as the background, the main reason for its occurrence is not that the line is overloaded, but that the strong wind blows the line, causing the line to dance, and the distance between the line and the surrounding objects or lines is too small, causing a short circuit.

There is no clear causal relationship between these faults, which is mainly affected by the meteorological environmental conditions (wind speed, wind direction, etc.) between) and so on, has a certain randomness, and does not meet the analysis conditions of cascading failures

Therefore, the conventional SOC analysis method based on power flow calculation (full flow, DC flow) is not suitable for the scene analysis of line galloping and short-circuit tripping caused by extreme disasters such as strong winds, and the method based on transient stability analysis is more suitable for such problems

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