Spatio-temporal multidimensional safety assessment method for power equipment based on symbolic dynamics and Hidden Markov models

Abstract

The invention relates to a spatio-temporal multidimensional safety assessment method for power equipment based on symbolic dynamics and Hidden Markov models, and in particular to sub-link information auditing, time sequence tracking, risk assessment technology and a security situation prediction method based on symbolic dynamics and Hidden Markov models. The advantages of the present invention are as follows: 1. the structural division of a power system can optimize the collection of evaluation factor information; 2. The determining of the information audit points in various links and the improving of the audit information make the power equipment operation status information collection more accurate; 3. The time sequence tracking to the fault information of the audit points in various links considers the historical operation state of the power equipment, which makes the safety assessment more accurate; 4. the operation rules of power equipment can be accurately reflected; and 5. the use of hidden Markov models for the calculation of the prediction of the safety situation and, at the same time, the establishment of a suitable threshold to determine whether there is a safety risk of power equipment improve the accuracy of the assessment of the safety situation.

Description

technical field [0001] The present invention relates to the space-time multi-dimensional security assessment of electric power equipment, which is based on the multi-link information audit, time sequence tracking, symbolic dynamics and hidden Markov model of electric power system to evaluate the risk and safety situation of electric power equipment, and proposes a new type of safety assessment for electric power equipment Method, by monitoring the changes of electrical quantities in the system and auditing records, the potential safety hazards in the system can be identified in time to ensure the normal operation of the system. It specifically involves sub-link information audit, time series tracking, risk assessment technology based on symbolic dynamics and security situation prediction method based on hidden Markov model. Background technique [0002] The development of intelligent power system depends largely on the development of information network system, but compared ...

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Problems solved by technology

[0002] The development of intelligent power system depends largely on the development of information network system, but compared with the security protection of power system, the risk of communication network is higher

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