Intelligent risk assessment method for electric power security risk assessment, and system thereof

Abstract

The invention discloses an intelligent risk assessment method for electric power security risk assessment. The intelligent risk assessment method for electric power security risk assessment comprises the steps: step 1, determining an input risk factor set according to the operating type of a power supply enterprise; step 2, performing fuzzification processing of the risk factors in the input risk factor set, and determining the proportion of the risk factors in an assessment set; step 3, performing fuzzy inference of fuzzy rules between the risk factor and the risk assessment result, and calculating the relevance grade of each fuzzy rule; step 4, performing normalization processing of the relevance grade of each fuzzy rule for the risk factors; and step 5, according to the fuzzy rules and the relevance grade of each fuzzy rule, calculating output of each fuzzy rule and performing defuzzification processing of the output, thus obtaining the risk assessment result. The intelligent risk assessment method for electric power security risk assessment is provided with knowledge inductive learning ability, and can also automatically adjust parameters of a membership function, thus effectively improving the accuracy and the validity of the assessment result.

Description

technical field [0001] The invention relates to an electric power risk assessment method, in particular to an intelligent risk assessment method for electric power safety risk assessment, and also relates to an intelligent risk assessment system for realizing the method, belonging to the technical field of electric power system reliability. Background technique [0002] In the process of safety risk assessment, power supply enterprises are faced with a variety of operation methods. For example, substation operation, substation overhaul construction, power transmission operation, power transmission overhaul construction, power distribution operation, power distribution overhaul construction, dispatching communication automation, high-voltage oil service instrument operation, internal line and metering operation, vehicle traffic, etc. During the operation of each operation mode, many risk factors faced will cause personal injury or economic loss. Among them, the injury method...

AI Technical Summary

Problems solved by technology

However, it needs to use the prior knowledge of experts for approximate reasoning, and lacks the ability of online self-learning or self-adjustment. Therefore, whether the evaluation matrix can be automatically generated and adjusted has become a difficult problem for fuzzy comprehensive evaluation.

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