Intelligent diagnosis method of abnormal line loss in substation area and application based on expert system

李 敏; 王诚意; 蔡嘉辉; 王 琨; 董 康; 徐业峻; 周杨柳

doi:10.3969/j.issn.1009-1831.2021.05.016

您当前的位置：

首页 >

文章列表页 >

Intelligent diagnosis method of abnormal line loss in substation area and application based on expert system

更新时间：2026-03-05

- Intelligent diagnosis method of abnormal line loss in substation area and application based on expert system
- Vol. 23, Issue 5, (2021)
- 作者机构：
  
  1. 国网江苏省电力有限公司苏州供电分公司,江苏,苏州,215000
  2. 江南大学机械工程学院,江苏,无锡,214122
  3. 南海西部石油油田服务（深圳）有限公司,广东,深圳,518000
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2021.05.016
  CLC：
- Published：2021
- 稿件说明：
移动端阅览
李敏, 王诚意, 蔡嘉辉, et al. Intelligent diagnosis method of abnormal line loss in substation area and application based on expert system[J]. 2021, 23(5).
DOI：

李敏, 王诚意, 蔡嘉辉, et al. Intelligent diagnosis method of abnormal line loss in substation area and application based on expert system[J]. 2021, 23(5). DOI： 10.3969/j.issn.1009-1831.2021.05.016.

摘要

利用专家系统的推理和决策功能，设计了一套台区线损异常智能诊断系统。该智能诊断系统将台区用电原始数据载入专家系统中进行线损异常智能诊断，甄别出线损异常的台区，并分析出导致该台区线损异常的原因，并将这些线损异常信息存入台区线损异常数据库中。电力企业管理人员在系统人机交互界面上查看线损异常信息。该系统的使用提高了线损异常的诊断速度与效率，提升了电网的智能化管理水平。

Abstract

Based on the reasoning and decision-making function of the expert system

a set of intelligent diagnosis system of line loss abnormality in the station area is designed. In this intelligent diagnosis system

the original data of power consumption in the station area is loaded into the expert system for intelligent diagnosis of line loss abnormality. The station area with abnormal line loss is identified and the cause of the abnormal line loss in the station area is analyzed. Then

the abnormal line loss information is stored in the database of abnormal line loss in the station area. Managers of electric power enterprises can view the abnormal information of line loss on the human-computer interface of the system. The application of the system improves the diagnosis speed and efficiency of line loss abnormality

and improves the intelligent management level of power grid.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

AI问答

⁰