Power system cascading failure risk assessment method and power system cascading failure risk assessment system

Abstract

The invention discloses a power system cascading failure risk assessment method and a power system cascading failure risk assessment system. The method comprises the following steps: acquiring all failure sequences of a power system in an initial state; sorting and combining all the failure sequences, and building a Markov tree model of multi-time-scale cascading failure simulation; acquiring failure risk indicators; acquiring a risk assessment stop criterion; searching for the Markov tree model according to the failure risk indicators and the risk assessment stop criterion to get a first search result; judging whether the first search result is in accordance with the risk assessment stop criterion to get a first judgment result; and when the first judgment result indicates that the first search result is in accordance with the risk assessment stop criterion, stopping searching for the Markov tree model, and getting the risk value of a line. By using the risk assessment method and the risk assessment system, maximum coverage of the possible development path space of cascading failure can be realized under the condition of limited computing resources, and therefore, the computation efficiency is improved significantly.

Description

technical field [0001] The invention relates to the field of risk assessment, in particular to a method and system for risk assessment of power system cascading failures. Background technique [0002] In recent years, there have been many chain blackout accidents all over the world, which have brought great losses to the society and economy of various countries. Therefore, the study of blackout accidents is an important topic. Only by identifying the critical characteristics of the power system can we further understand the causes of cascading failures in the power system. Analyzing and studying the critical state and cascading failures of the system is the key factor to effectively improve the reliability of the system. With the continuous development of the power industry, it is an inevitable trend to build a large-scale power grid. Today, in the pursuit of maximizing profits, it is necessary to strengthen the analysis and risk assessment of cascading failures and eliminat...

AI Technical Summary

Problems solved by technology

Therefore, when sampling low-probability events, a huge number of samples is often required, which cannot meet the needs of practical risk assessment

Although the variance reduction technology can speed up the convergence speed, its efficiency can only be increased several times to dozens of times, and it cannot fundamentally solve the problem of low computational efficiency

Therefore, the risk assessment based on the sampling method is very inefficient and difficult to apply in practice.

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