Research on Line Loss Anomaly Analysis Method Based onScenario-Based Logic Tree Model

WANG Gang; YAO Wenying; ZHANG Tao; TAN Jian; CHENG Bin; YIN Li

doi:10.13882/j.cnki.ncdqh.2604A004

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Research on Line Loss Anomaly Analysis Method Based onScenario-Based Logic Tree Model

更新时间：2026-07-22

- Research on Line Loss Anomaly Analysis Method Based onScenario-Based Logic Tree Model
- Rural Electrification Issue 6, Pages: 30-33, 83(2026)
- 作者机构：
  
  广东电网有限责任公司广州供电局,广东,广州,510000
- 作者简介：
- 基金信息：
- DOI：10.13882/j.cnki.ncdqh.2604A004
  CLC： TM766
- Published：2026
- 稿件说明：
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王刚, 姚文莹, 张涛, 谭健, 程斌, 尹力. 基于场景化逻辑树模型的线损异常分析方法研究[J]. 农村电气化, 2026, (6): 30-33, 83.

WANG Gang, YAO Wenying, ZHANG Tao, et al. Research on Line Loss Anomaly Analysis Method Based onScenario-Based Logic Tree Model[J]. Rural Electrification, 2026, (6): 30-33, 83.
王刚, 姚文莹, 张涛, 谭健, 程斌, 尹力. 基于场景化逻辑树模型的线损异常分析方法研究[J]. 农村电气化, 2026, (6): 30-33, 83. DOI： 10.13882/j.cnki.ncdqh.2604A004.

WANG Gang, YAO Wenying, ZHANG Tao, et al. Research on Line Loss Anomaly Analysis Method Based onScenario-Based Logic Tree Model[J]. Rural Electrification, 2026, (6): 30-33, 83. DOI： 10.13882/j.cnki.ncdqh.2604A004.

摘要

为解决传统电能量数据平台中线损场景化分析逻辑混乱、线损率和线损异常率监测评价不到位等问题，研究以“度电必争，度损必降”为原则，开展线损场景化逻辑链条分析能力提升建设。该体系主要由自主式场景化逻辑链条分析、全量穿透监测和问题多维分析3个功能模块组成，可实现异常分析基本单元灵活组合、按需定制与经验积累，动态形成场景化分析主题。同时，通过线损精细计算、发布任务清单到人、跟踪治理限期闭环等方式，提升线损异常排查治理效率，为新时期电网“降损增效”提供有效支撑。

Abstract

To address the issues of disorganized scenario-based analysis logic and inadequate monitoring and evaluation of line loss rates and anomaly rates in traditional electric energy data platforms

this study conducts research on enhancing scenario-based logical chain analysis capabilities under the principle of "competing for every kilowatt-hour and reducing every unit of loss". The proposed system primarily consists of three functional modules: autonomous scenario-based logical chain analysis

comprehensive penetration monitoring

and multi-dimensional problem analysis. It enables flexible combination

on-demand customization

and experience accumulation of basic anomaly analysis units

dynamically forming scenario-based analysis themes. Furthermore

it improves the efficiency of line loss anomaly investigation and management through refined line loss calculation

task assignment to individuals

and closed-loop tracking of governance within deadlines. This provides effective support for loss reduction and efficiency enhancement in power grids in the new era.

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references

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王大鹏,孙圣禹.电网台区同期线损异常情况分析与治理方法[J].电气技术与经济,2025(7):181-183.

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