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光伏发电技术 储能系统 微电网 ★ 5.0

兆瓦级直流微电网中的串联电弧故障

Series Arc Faults in a Megawatt-Level DC Microgrid

作者 Pablo Paz · Robert Hebner · Angelo Gattozzi · Shannon Strank
期刊 IEEE Transactions on Power Delivery
出版日期 2025年7月
技术分类 光伏发电技术
技术标签 储能系统 微电网
相关度评分 ★★★★★ 5.0 / 5.0
关键词 直流微电网 串联电弧故障 高功率 等离子体 保护方案
语言:

中文摘要

本文基于兆瓦级直流微电网实验结果,对串联电弧故障特性进行表征。高功率串联电弧因电流水平高导致等离子体电导率增加,在小气隙下呈现稳定线性阻抗特性;随着气隙增大,受热对流与压力影响,电弧趋于不稳定并表现出非线性特征。电路大电感与电弧不稳定性共同影响其电压电流行为。小气隙下的稳定等离子体缺乏高频分量,使传统检测方法失效。所提出的串联电弧故障模型与实验结果高度吻合,可支持高功率直流微电网保护方案的优化设计。

English Abstract

This paper presents a characterization of series arc faults based on experimental results obtained from a megawatt-level dc microgrid system. Series arc faults have garnered considerable attention because they can cause fires in photovoltaic systems and are not detected or isolated by legacy protection technology. Unlike the lower-power arc faults commonly reported in the photovoltaic literature, high-power series arc faults exhibit distinct behavior. Specifically, the elevated temperatures resulting from higher current levels increase plasma conductivity. At short air gaps, this conductive plasma remains stable, behaving as a linear series impedance; however, as the air gap widens, the arc becomes increasingly unstable, becoming nonlinear due to elevated pressures and thermally driven convection. The unstable nature of high-power arcs, combined with the significant circuit inductance introduced by large conductors, strongly influences the arc’s voltage and current characteristics. Furthermore, the stable plasma observed at shorter air gaps lacks the high-frequency components typically present in low-power dc arcs, rendering conventional detection methods ineffective. The proposed series arc fault model demonstrates strong agreement with the experimental results and supports the development of advanced protection schemes tailored for high-power dc microgrids.
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SunView 深度解读

该串联电弧故障特性研究对阳光电源直流侧产品安全至关重要。在ST系列储能变流器和PowerTitan大型储能系统中,高功率直流母线(1500V系统)面临与文中兆瓦级场景相似的电弧风险。研究揭示的小气隙稳定电弧缺乏高频特征,直接挑战传统AFCI检测算法有效性,提示需开发基于非线性阻抗特征的新型检测方法。所提电弧模型可集成到iSolarCloud智能诊断系统,通过电压电流波形分析实现早期预警。对于SG系列光伏逆变器的直流输入端和充电桩大功率直流输出,该模型可优化保护策略设计,提升系统本质安全性,降低火灾风险,符合储能电站和充电基础设施的高可靠性要求。