Sulfur Hexafluoride Gas Leakage Monitoring and Early-Warning Method for Electrical Power Facilities

Sulfur Hexafluoride Gas Leakage Monitoring and Early-Warning Method for Electrical Power Facilities
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电力设施六氟化硫气体泄漏监测预警方法

DOI:
10.1109/access.2020.3009229
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发表时间:
2020
期刊:
影响因子:
3.9
通讯作者:
Wang Feng
Wang Feng
中科院分区:
计算机科学3区
文献类型:
--
作者:
Liu Chunrui;Deng Fume;Shi Lei;Wang Feng

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供电设施中的大多数Transformer变电站都依赖于六氟化硫电气设备。如果不及时采取有效措施,六氟化硫气体泄漏会造成严重的健康问题。为此,本研究建立了六氟化硫气体泄漏监测、预警和应急处置模型。首先,以某地下Transformer变电站主Transformer室为研究对象,建立其三维模型,并进行数值模拟。其次,利用模拟结果确定六氟化硫气体的扩散和浓度分布,确定浓度敏感区域,并根据模拟结果布置传感器,确保泄漏时的预警。基于监测点传感器采集的数据,建立了六氟化硫气体泄漏监测预警模型;提出了六氟化硫气体泄漏应急处置模型的构建方法,为建立泄漏气体回收利用系统提供了参考。本文还提供了一些建议,关于确定的最佳条件,这种紧急回收装置,可以用来维持六氟化硫气体的浓度低于一个特定的值,并建立一个回收时间预测模型。研究结果可为六氟化硫气体泄漏预警和应急处置提供理论依据,有助于窒息事故的预防。
Most transformer substations in power supply facilities rely on sulfur hexafluoride electrical equipment. A sulfur hexafluoride gas leak can cause serious health concerns if effective measures are not adopted in time. Therefore, in this study, a sulfur hexafluoride gas leakage monitoring, early-warning, and emergency disposal model was established. First, taking the main transformer chamber of an underground transformer substation as the research object, a 3D-model was built, and a numerical simulation was performed. Second, the simulation results were utilized to determine the dispersion and concentration distribution of the sulfur hexafluoride gas, identify concentration-sensitive areas, and arrange sensors based on the simulation results, to ensure early-warning in case of leaks. Then, a sulfur hexafluoride gas leakage monitoring and early-warning model was built based on the data collected using sensors at the monitoring points; thereafter, a construction method was developed for a sulfur hexafluoride gas leakage emergency disposal model, which can be referenced to establish a leakage gas recycling system. This paper also provides some recommendations regarding the determination of the optimal conditions for this emergency recycling device, which can be utilized to maintain the concentration of sulfur hexafluoride gas below a specified value and to construct a recycling time prediction model. The results of the study can provide a theoretical basis for sulfur hexafluoride gas leakage early-warning and emergency disposal, which will contribute to the prevention of suffocation-related accidents.
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