Transmission line running state association rule mining and predicting method based on Bayesian model

Abstract

The invention discloses a transmission line running state association rule mining and predicting method based on a Bayesian model. The method is characterized by comprising the following steps: (1) generating frequent 1-item sets L1 based on item sets I related to the running state of a transmission line, connecting the frequent 1-item sets L1 in pairs to generate candidate 2-item sets C2, and generating frequent 2-item sets L2 based on the candidate 2-item sets C2; (2) constructing a Bayesian network based on the frequent 2-item sets L2; (3) generating an association rule R according to the Bayesian network; (4) calculating the support and confidence corresponding to the association rule R, and getting a strong association rule of the association rule R; and (5) predicting the running state of the transmission line based on the strong association rule of the association rule R and the corresponding confidence. According to the method, the association rule of parameters related to the running state of a transmission line can be applied to the prediction of the state of the transmission line, and therefore, the precision and accuracy of prediction are increased.

Description

technical field [0001] The invention relates to a method for mining and predicting association rules of the operating state of transmission lines, in particular to a method for mining and predicting association rules for operating states of transmission lines based on a Bayesian model. Background technique [0002] With the rapid development of the national economy, the social demand for electricity is increasing day by day, and electricity shortage has become a limiting factor for economic development, especially in the economically developed Yangtze River Delta and Pearl River Delta regions. At present, the development of the power grid obviously lags behind the development of the economy and the construction of power sources, which makes the insufficiency of the power transmission capacity of the power grid more prominent. In addition, power grid construction is constrained by factors such as environment and cost, which makes the construction period long and the developme...

AI Technical Summary

Problems solved by technology

Most of the existing methods for predicting the operation status of transmission lines are limited to the analysis of a single parameter, and do not take into account the correlation between multiple parameters

In addition, due to the complexity and dynamics of the transmission line operating environment, the analysis and prediction of system parameters in continuous time periods cannot accurately reflect the state changes of the line.

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