电器与能效管理技术 ›› 2024, Vol. 0 ›› Issue (8): 91-99.doi: 10.16628/j.cnki.2095-8188.2024.08.012

• 应用 • 上一篇    

储能系统直流电弧故障的检测与保护技术的研究及应用

张弦1, 张然2, 侯鹏2, 刘孝宇2   

  1. 1.阳光电源(江苏)有限公司, 江苏 南京 210000
    2.阳光电源股份有限公司, 安徽 合肥 230000
  • 收稿日期:2024-06-15 出版日期:2024-08-30 发布日期:2024-09-13
  • 作者简介:张 弦(1986—),男,工程师,主要从事光储系统技术研究工作。|张 然(1995—),男,主要从事电力电子故障诊断技术研究工作。|侯 鹏(1988—),男,主要从事电子变换器硬件技术研究工作。

Research and Application of Detection and Protection Techniques for DC Arc Faults in ESSs

ZHANG Xian1, ZHANG Ran2, HOU Peng2, LIU Xiaoyu2   

  1. 1. SUNGROW (Jiangsu) Co.,Ltd., Nanjing 210000, China
    2. SUNGROW Power Supply Co.,Ltd., Hefei 230000, China
  • Received:2024-06-15 Online:2024-08-30 Published:2024-09-13

摘要:

探讨储能系统中的电弧检测与保护方法,提出一种基于时域触发加频域保护的电弧检测算法。首先,设计了包括自检、增益及滤波电路在内的电弧检测硬件,通过隧穿磁阻效应(TMR)电流传感器放大储能系统拉弧后的电流峰峰值变化差异。其次,利用延时滑窗法提取时域特征作为电弧检测算法的触发条件,触发后计算其频域特征输入电弧检测模型,判定其为真实拉弧后,储能系统立刻进行关机动作。算法的测试结果表明,该方法能够准确识别出串联回路下的储能系统电弧故障,检测准确率100%,能够满足实际应用中的需求。

关键词: 储能系统, 安全, 电弧检测技术, 电弧检测模型

Abstract:

To investigate arc detection & protection methods in ESSs,an arc detection algorithm based on time-domain triggering and frequency-domain protection is proposed.Firstly,an arc detection hardware was designed,including self-check,gain,and filtering circuits.This hardware amplifies the peak-to-peak current variation difference after an arc occurs in the energy storage system,through the use of a TMR current sensor.Secondly,time-domain features are extracted using a delayed sliding window method for use as trigger conditions in the arc detection algorithm.Once triggered,frequency-domain features are calculated and input into the arc detection model.If it is determined to be a genuine arc event,the ESS immediately performs a shutdown action.The test results of the algorithm show that this method can accurately identify the arc faults in the energy storage system under series circuits,with a detection accuracy rate of 100%,meeting the requirements for practical applications.

Key words: ESSs, safety, arc detection and protection techniques, arc detection model

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