A fault detection method for distribution network and underground cables based on bim model

Abstract

The invention discloses a BIM-model-based distribution network and underground cable fault detection method comprising steps of building an original BIM model, carrying out normal state data modelingand carrying out online data detection. At the step of building an original BIM model, structural characteristics of distribution network and underground cable distribution are obtained comprehensively; at the step of carrying out normal state data modeling, several kinds of variable process data in a normal stable operation state of a distribution network and underground cable are inputted into the BIM model based on a neighborhood preserving embedding algorithm and a statistic amount and a corresponding statistic threshold are calculated; and at the step of carrying out online data detection, process variable data collected in real time during the operation process of the distribution network and underground cable are projected to the model constructed by normal state data modeling, a statistic amount is calculated; and the statistic amount is compared with the statistic threshold calculated by the normal state data modeling to obtain a detection result. Therefore, BIM-model-based multi-variable distribution network and underground cable fault detection is realized; and the operation and maintenance management safety of the distribution network and underground cable is improved.

Description

Technical field [0001] The invention belongs to the technical field of power grid distribution network safety, and particularly relates to a BIM model-based method for detecting faults in a distribution network and underground cables. Background technique [0002] The construction of the distribution network is an important part of the power system. It is the basis for the two-way interaction between the power grid and customers. With the improvement of the national economy and the improvement of people's living standards, the requirements for the stable operation of the distribution network are becoming higher and higher. Therefore, the fault warning design of the distribution network is a necessary link in the power grid system. [0003] When the distribution network fails, there will be a large-scale blackout, which will cause greater economic losses and negative social impacts on grid companies and users. How to safely, efficiently and timely warn of grid failures and effective...

AI Technical Summary

Problems solved by technology

The traditional monitoring method is generally based on some important single variables in the distribution network and underground cables to be monitored separately, but there is generally a large correlation between the data reflecting the process characteristics, and the single variable monitoring cannot detect the interaction between multiple variables. To monitor the relationship changes, the information is relatively single, so the feature distribution of the data cannot be accurately grasped, and the global structural information cannot be accurately obtained, resulting in the validity of the extracted data information, which is not conducive to the realization of monitoring automation

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