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基于窗口分形维数的直流MEA电力系统鲁棒串联电弧检测
Robust Series Arc Detection for DC MEA Power Systems Using Windowed Fractal Dimension
| 作者 | Danny Seeley · Mark Sumner · David William Phillip Thomas · Steve Greedy |
| 期刊 | IEEE Journal of Emerging and Selected Topics in Power Electronics |
| 出版日期 | 2025年1月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 故障诊断 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 直流电弧故障 快速检测方法 窗口分形维数 交通运输 乘客安全 |
语言:
中文摘要
针对多电飞机(MEA)高压直流电路和电池储能技术发展导致元件或绝缘退化引起直流电弧故障风险增加的问题,开发快速直流电弧故障检测方法确保乘客安全。进一步发展窗口分形维数(WFD)电弧检测方法适用包含开关功率变换器网络的线性和非线性负载。结果一致显示所有负载条件下电弧起始和持续期间WFD显著变化。提出快速直流电弧检测新方法,相比其他方法需更少计算步骤、更少参数设置和更少调试,可与现有保护方案协同提供清晰鲁棒的直流电弧故障指示并防止电路损坏。
English Abstract
The rapid development of more-electric transportation has led to increased use of higher voltage dc circuit architecture and battery storage. These developing technologies create a higher risk of dc arc failure resulting from component or insulation degradation. Arc faults present a risk to system reliably and safety, starting electrical fires that could prove catastrophic in transportation applications. To ensure ongoing passenger safety, the development of rapid dc arc fault detection methods is necessary. This article further develops the windowed fractal dimension (WFD) arc detection method for a range of linear and nonlinear loads, including networks containing switching power convertors. Results consistently show a substantial change in WFD at arc onset, and whilst the arc is sustained, for all load conditions. The outcome is a new method of fast dc arc detection requiring fewer calculation steps, fewer parameter settings, and reduced commissioning when compared to other arc detection methods, and can be used in tandem with existing protection schemes to provide a clear and robust indication of dc arc failure and prevent circuit damage.
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SunView 深度解读
该直流电弧检测技术对阳光电源直流系统和储能产品的安全保护有重要应用价值。WFD电弧检测方法可应用于PowerTitan大型储能系统和1500V光伏系统的直流侧保护,快速识别电弧故障并防止火灾风险。该技术对新能源汽车高压直流充电系统的安全监测有借鉴意义,可提高系统安全性。少参数设置和快速检测特性对阳光电源直流产品线的嵌入式保护算法开发有价值,可降低计算负担并提升响应速度。