Power grid upgrading work order feature portraying and analysis method based on probability

Abstract

The invention discloses a probability-based power grid upgrading work order feature portraying and analysis method. The method comprises a qualitative analysis method and a quantitative analysis method for the upgrading risk of a power grid work order. For an upgrade work order in a power grid, firstly, PCA analysis is carried out to carry out characteristic interpretation rate comparison on the power grid work order, then risk comparison of characteristic parameters is carried out through a conditional probability method, transverse and longitudinal risk sorting of work order characteristics is realized, and thus the characteristics of the upgrade work order are portrayed. The comprehensive conditional probability is calculated according to the calculated feature interpretation rate and the conditional probability of different feature values, and the comprehensive conditional probability can be used for quantitatively describing the upgrading risk of the work order. The method can help a fault processing department to quickly and accurately position, classify, upgrade and predict the work order description faults, provides a basis for the decision and action of the fault department, and improves the troubleshooting quality and the power utilization quality of a user.

Description

Technical field [0001] The present invention belongs to the field of power safety technology, and specific to a probability-based power grid upgrade work order feature portrait and analysis method. Background technique [0002] The processing of the power system tailbeller will be an important way for the power grid to know the fault and process. Timely handling work orders not only maintain power system stable and safe, but also is also important for improving the quality of users. It is possible to timely and efficient processing failure by positioning the power system failure through the work order information. [0003] However, due to various reasons, the work order information is sometimes not fully responding to the fault, causing the error of the work order type, and misleading the faulty processing department has an error action or reaction. For example, will report non-repair work orders as a repair process, which may cause human, material waste, delay in other repairs, ...

AI Technical Summary

Problems solved by technology

[0003] However, due to various reasons, the work order information sometimes cannot fully reflect the failure situation, resulting in misjudgment of the work order type, misleading the fault handling department to take wrong actions or responses

For example, reporting a non-emergency repair work order as an emergency repair work order may cause waste of manpower and material resources, and delay processing of other emergency repair orders; reporting an emergency repair order as a non-emergency repair order may cause failures to be handled in a timely manner, and even cause safety issues

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