基于多源数据融合的配网故障实时预警方法研究

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摘要：随着电力系统规模扩大与技术进步，配网故障预警面临数据孤岛与研判滞后挑战。本文阐述了多源数据融合技术，融合设备运行、地理信息、拓扑结构及环境数据，构建智能化预警系统，以实现故障快速响应与精确定位，提升预警效率与准确性，保障配网安全稳定。

关键词：多源数据融合；配电网；故障预警；数据采集

doi：10.3969/J.ISSN.1672-7274.2025.02.019

中图分类号：TM 769          文献标志码：A            文章编码：1672-7274（2025）02-00-03

Research on Real-time Fault Warning Method for Distribution Networks Based on Multi-source Data Fusion

DENG Lijuan， XIE Yonghua， WU Qilin， LI Xiaoming

（Zhaotong Power Supply Bureau of Yunnan Power Grid Co.， Ltd.， Zhaotong 657000， China）

Abstract： With the expansion of power system scale and technological advancements， fault warning in distribution networks faces challenges such as data silos and delayed diagnosis. This paper investigates multi-source data fusion technology， integrating equipment operation data， geographic information， topological structure data， and environmental data to construct an intelligent warning system. This system aims to achieve rapid response and precise fault location， enhancing warning efficiency and accuracy， and ensuring the safe and stable operation of distribution networks.

Keywords： multi-source data fusion; distribution network; fault warning; data acquisition

0   引言

在当今电力系统日益复杂且对供电可靠性要求日益提高的背景下，配网故障的快速准确预警成为保障电网稳定运行、提升用户满意度的关键环节。（剩余3957字）