Comprehensive energy system fault risk early warning method based on RelieF-softmax algorithm

Abstract

The invention discloses an integrated energy system fault risk early warning method based on a RelieF-softmax algorithm. The method comprises the following steps: constructing an integrated energy system model; preprocessing the fault feature data; utilizing a RelieF algorithm to screen features according to the far-near distinguishing capability of the features to sample distances; fault risk grade prediction is carried out by taking the fault occurrence frequency and the number and range of residents influenced by the fault occurrence as the basis of fault risk grade division; and adopting a RelieF-softmax algorithm to carry out fault risk early warning on the integrated energy system. According to the method, serious consequences caused by misclassification high-risk faults can be effectively avoided, and the cost caused by prediction error bands is reduced.

Description

technical field [0001] The invention relates to a comprehensive energy system fault risk early warning method based on the RelieF-softmax algorithm. Background technique [0002] In recent years, in order to solve the problems of shortage of non-renewable energy such as oil and coal traditionally used for power generation, serious environmental pollution, etc., and realize my country's strategic goal of "carbon peaking and carbon neutrality" as soon as possible, many scholars have successively proposed the concept of integrated energy system . The integrated energy system optimizes the combination of different energy systems such as traditional power grids, natural gas grids, and heat grids, and uses advanced information network technology and communication technology to realize the coupling of multiple energy systems and promote the efficient use of energy and equipment. [0003] However, the integrated energy system is the same as the distribution network. The grid structu...

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Problems solved by technology

[0003] However, the integrated energy system is the same as the distribution network. The grid structure is complex, the coverage is wide, and the types of equipment are various and miscellaneous. The factors affecting its stable operation will increase, and the possibility of system failure will also increase.

Taking the gas grid system as an example, after the large-scale introduction of natural gas into the system, the coupling between the electrical and gas systems has been enhanced, and at the same time, the reliability of the system has become increasingly prominent.

For example, random failures such as leakage of natural gas pipelines and interruption of gas source supply may lead to a rapid reduction in the output of gas-fired units due to insufficient supply of natural gas, thereby threatening the safe and stable operation of the electrical system.

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