Overhead power transmission line running state assessment method based on bidirectional Bayesian network

Abstract

The invention discloses an overhead power transmission line running state assessment method based on a bidirectional Bayesian network. The method can be used for conducting a real-time assessment on the running state of an overhead power transmission line. According to the method, a Bayesian network structure for the assessment of the running state of the power transmission line is constructed with various factors which influence the running state of the power transmission line serving as a condition attribute set and the running state of the line serving as a decision attribute, a conditional probability table is obtained according to sample training, and by utilizing the bidirectional reasoning technology dedicated to the Bayesian network, the running state of the line can be judged by means of causal reasoning, and the hidden danger of the state can also be recognized by means of diagnostic reasoning; when an assessment error exists, a self-feedback system can be used for conducting early warning and correction, an assessment database, the network structure and parameters can be modified dynamically in real time so as to be adapted to an update, and therefore healthy running of the power transmission line is truly guaranteed.

Description

technical field

[0001] The invention relates to a power system operation safety technology, in particular to a self-feedback bidirectional Bayesian network-based overhead transmission line operation state evaluation method. Background technique

[0002] With the rapid growth of my country's electric power construction, the scale of the power network is increasing day by day, which puts forward higher requirements for the safe and stable operation, monitoring and protection of overhead transmission lines. Since the overhead transmission line is put into operation, it must ensure its power transmission capacity as well as the level of safety and reliability of operation. The safe operation of the entire power system has brought different degrees of influence and threat. Therefore, how to improve the operation efficiency of overhead transmission lines, reduce operation and maintenance costs, and ensure the long-term normal and stable operation of the lines has become a key iss...

Examples

Embodiment

[0054] This embodiment is based on the self-feedback two-way Bayesian network overhead transmission line operating state assessment method, see figure 1 A schematic block diagram of its evaluation process is shown, specifically including the following parts:

[0055] S1. Data acquisition and preprocessing part; obtain relevant data of overhead transmission line operation through operation inspection, online monitoring, preventive test and ledger; quantify the collected data, and normalize the necessary data, etc. , the preprocessed data is used as the input of the self-feedback bidirectional Bayesian network state assessment system;

[0056] S2. Self-feedback two-way Bayesian network status evaluation system part; the evaluation system includes statistics and analysis of network node data, network construction and parameter learning, network reasoning and judgment;

[0057] S3. The evaluation result output and evaluation database management part; the evaluation results obtain...

technical field

[0001] The invention relates to a power system operation safety technology, in particular to a self-feedback bidirectional Bayesian network-based overhead transmission line operation state evaluation method. Background technique

[0002] With the rapid growth of my country's electric power construction, the scale of the power network is increasing day by day, which puts forward higher requirements for the safe and stable operation, monitoring and protection of overhead transmission lines. Since the overhead transmission line is put into operation, it must ensure its power transmission capacity as well as the level of safety and reliability of operation. The safe operation of the entire power system has brought different degrees of influence and threat. Therefore, how to improve the operation efficiency of overhead transmission lines, reduce operation and maintenance costs, and ensure the long-term normal and stable operation of the lines has become a key iss...

Examples

Embodiment

[0054] This embodiment is based on the self-feedback two-way Bayesian network overhead transmission line operating state assessment method, see figure 1 A schematic block diagram of its evaluation process is shown, specifically including the following parts:

[0055] S1. Data acquisition and preprocessing part; obtain relevant data of overhead transmission line operation through operation inspection, online monitoring, preventive test and ledger; quantify the collected data, and normalize the necessary data, etc. , the preprocessed data is used as the input of the self-feedback bidirectional Bayesian network state assessment system;

[0056] S2. Self-feedback two-way Bayesian network status evaluation system part; the evaluation system includes statistics and analysis of network node data, network construction and parameter learning, network reasoning and judgment;

[0057] S3. The evaluation result output and evaluation database management part; the evaluation results obtain...

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