Power grid fault diagnostic model and diagnostic method thereof

Abstract

The invention provides a power grid fault diagnostic model and a diagnostic method thereof and belongs to the technical field of power grid fault diagnosis. A mathematical expression of the traditional fault diagnostic analytic model can be abstracted as the formula; analysis on the action state of protecting a switch is converted into description on the probability of protecting the switch; the description is information transmission uncertainty description based on an information theory; an objective function is established as an optimal solving function; mutual information between an information sink and an information source under every failure mode is calculated when multiple optimal solutions, namely multiple failure modes exist; corresponding failure modes are most likely to occur if the quantity of condition self-information is smallest; and a principle that the mutual information of the information sink and the information source is maximum is utilized to determine a fault sorting result when the plurality of condition self-information is similar. The power grid fault diagnostic model and the diagnostic method thereof have the advantages of enabling the uncertainty of fault diagnosis to be integrated in an analytic model, enabling the fault tolerance of the model to be improved and the dimension of the model to be greatly reduced, being high in diagnostic speed and diagnostic accuracy, being capable of being well applied to a scheduling terminal and playing a positive and important role in the field of the power grid fault diagnosis.

Description

technical field [0001] The present invention relates to a new power grid fault diagnosis model and its diagnosis method, especially to the analysis of the action logic relationship between components, protection and circuit breakers and the description of the uncertainty in the action process; and the use of information theory to describe the process of information transmission Uncertainty, using conditional self-information to construct an objective function to describe the fault diagnosis problem as a 0-1 integer programming method, which belongs to the technical field of power grid fault diagnosis. technical background [0002] At present, the grid fault diagnosis methods mainly include expert system method, artificial neural network method and method based on analytical model, and there are also new methods based on Petri net, rough set theory and information theory. Because there are some uncertain factors in the fault diagnosis, it affects the actual application effect...

AI Technical Summary

Problems solved by technology

However, traditional models generally ignore the uncertainty of fault diagnosis or mechanically add various uncertain factors to the parameters to be optimized, resulting in a significant increase in the dimension of the model, which increases the time and difficulty of solving. There may even be contradictory results (such as both refusal to move and false movement)

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