D'Antona Gabriele, Ghezzi Luca, Prando Sara, Rigamonti Francesco
Department of Energy, Politecnico di Milano, 20156 Milan, Italy.
ABB Electrification, Smart Buildings Division, Vittuone, 20009 Milan, Italy.
Sensors (Basel). 2024 Sep 5;24(17):5779. doi: 10.3390/s24175779.
Noninvasive imaging of circuit breakers under short-circuit testing is addressed by recording the magnetic field produced over an array of external sensors and by solving an inverse problem to identify the causing current distribution. The temporal and spatial resolution of the sensing chain are studied and implemented in a physical set-up. A wire model is adopted to describe electrical current distribution. Additionally, the simpler, more direct approach to evaluating the passage of electric current in front of sensors is proposed. The dynamics of suitable approximating models of the electric arc that forms across contacts is obtained and agrees with multi-physical simulations and with experimental time histories of current and voltage. The two methods are flexible and allow the analysis of different types of circuit breakers.
通过记录外部传感器阵列上产生的磁场并求解反问题以识别引起短路的电流分布,来解决短路测试下断路器的非侵入式成像问题。研究了传感链的时间和空间分辨率,并在物理装置中实现。采用线模型来描述电流分布。此外,还提出了更简单、更直接的方法来评估传感器前方的电流通过情况。获得了触头间形成的电弧的合适近似模型的动力学,其与多物理场模拟以及电流和电压的实验时间历程一致。这两种方法具有灵活性,能够分析不同类型的断路器。