储能科学与技术 ›› 2024, Vol. 13 ›› Issue (4): 1167-1175.doi: 10.19799/j.cnki.2095-4239.2023.0803

• 电池智能制造、在线监测与原位分析专刊 • 上一篇    下一篇

电池储能系统绝缘电阻检测方法误差分析

张杰(), 吴成辉, 潘明俊, 赵天恩   

  1. 南京南瑞继保电气有限公司,江苏 南京 211102
  • 收稿日期:2023-11-07 修回日期:2023-12-20 出版日期:2024-04-26 发布日期:2024-04-22
  • 通讯作者: 张杰 E-mail:zhangjie3@nrec.com
  • 作者简介:张杰(1989—),男,硕士,工程师,主要从事电力电子和储能系统软硬件平台技术研究,E-mail:zhangjie3@nrec.com

Error analysis of insulation resistance detection method in battery energy storage system

Jie ZHANG(), Chenghui WU, Mingjun PAN, Tianen ZHAO   

  1. NR Electric Co. Ltd. , Nanjing 211102, Jiangsu, China
  • Received:2023-11-07 Revised:2023-12-20 Online:2024-04-26 Published:2024-04-22
  • Contact: Jie ZHANG E-mail:zhangjie3@nrec.com

摘要:

电池储能系统绝缘电阻检测对电池储能电站的安全运行至关重要。为了解决常用的平衡-不平衡电桥法测量误差较大且有随机性的问题,建立了平衡-不平衡电桥法的计算机仿真模型,研究了绝缘电阻检测的误差影响因素。从电压测量误差偏置和电压测量精度2个方面对绝缘电阻检测误差的影响进行了分析。针对正母绝缘降低时的测量范围不宽和测量结果不准确的工程实际问题,对平衡-不平衡电桥法进行了改进。提出了电桥电阻如何选型的理论依据和具体方法。针对正负极绝缘同时降低时测量的准确性较差,存在绝缘监测死区的问题,利用仿真模型绘制出的三维曲面图进行分析,提出了可变阻值切换桥法,该方法可有效增加该工况下的检测准确度。最后工程现场的实际测试验证了误差分析和参数选型的正确性。该研究成果对电池管理系统绝缘监测功能的设计和参数选型提供了参考和理论依据。

关键词: 电池储能系统, 绝缘检测, 计算机仿真, 误差分析

Abstract:

Insulation resistance detection is crucial for the safe operation of battery energy storage systems. This study addresses the significant and random measurement errors associated with the commonly used balanced-unbalanced bridge method. By establishing a computer simulation model of this method, the research investigates the error-influencing factors in insulation resistance detection. The analysis quantitatively examines the impact of these errors, focusing on voltage measurement error bias and accuracy. To address the engineering challenge of a limited and imprecise measurement range due to reduced positive bus insulation, an improved balanced-unbalanced bridge method is proposed. This improvement includes a theoretical foundation and a detailed methodology for selecting bridge resistance. Furthermore, the study tackles the issue of diminished measurement accuracy and insulation monitoring dead zones when both positive and negative insulations are compromised. A variable resistance switch bridge method, derived from the three-dimensional surface analysis of the simulation model, is suggested to enhance detection accuracy under such conditions. Field tests conducted at an engineering site confirm the validity of the error analysis and the appropriateness of the parameter selection. The findings offer valuable insights and a theoretical framework for designing and selecting parameters for the insulation monitoring function in battery management systems.

Key words: battery energy storage system, insulation detection, computer simulation, error analysis

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