基于多源數(shù)據(jù)融合的配網(wǎng)故障實(shí)時(shí)預(yù)警方法研究

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摘要：隨著電力系統(tǒng)規(guī)模擴(kuò)大與技術(shù)進(jìn)步，配網(wǎng)故障預(yù)警面臨數(shù)據(jù)孤島與研判滯后挑戰(zhàn)。本文闡述了多源數(shù)據(jù)融合技術(shù)，融合設(shè)備運(yùn)行、地理信息、拓?fù)浣Y(jié)構(gòu)及環(huán)境數(shù)據(jù)，構(gòu)建智能化預(yù)警系統(tǒng)，以實(shí)現(xiàn)故障快速響應(yīng)與精確定位，提升預(yù)警效率與準(zhǔn)確性，保障配網(wǎng)安全穩(wěn)定。

關(guān)鍵詞：多源數(shù)據(jù)融合；配電網(wǎng)；故障預(yù)警；數(shù)據(jù)采集

doi：10.3969/J.ISSN.1672-7274.2025.02.019

中圖分類號(hào)：TM 769          文獻(xiàn)標(biāo)志碼：A            文章編碼：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

在當(dāng)今電力系統(tǒng)日益復(fù)雜且對(duì)供電可靠性要求日益提高的背景下，配網(wǎng)故障的快速準(zhǔn)確預(yù)警成為保障電網(wǎng)穩(wěn)定運(yùn)行、提升用戶滿意度的關(guān)鍵環(huán)節(jié)。（剩余3957字）