Ward Sayed A, El-Faraskoury Adel, Badawi Mohamed, Ibrahim Shimaa A, Mahmoud Karar, Lehtonen Matti, Darwish Mohamed M F
Faculty of Engineering, Delta University for Science and Technology, Mansoura 11152, Egypt.
Department of Electrical Engineering, Shoubra Faculty of Engineering, Benha University, Cairo 11629, Egypt.
Sensors (Basel). 2021 Mar 22;21(6):2223. doi: 10.3390/s21062223.
Power transformers are considered important and expensive items in electrical power networks. In this regard, the early discovery of potential faults in transformers considering datasets collected from diverse sensors can guarantee the continuous operation of electrical systems. Indeed, the discontinuity of these transformers is expensive and can lead to excessive economic losses for the power utilities. Dissolved gas analysis (DGA), as well as partial discharge (PD) tests considering different intelligent sensors for the measurement process, are used as diagnostic techniques for detecting the oil insulation level. This paper includes two parts; the first part is about the integration among the diagnosis results of recognized dissolved gas analysis techniques, in this part, the proposed techniques are classified into four techniques. The integration between the different DGA techniques not only improves the oil fault condition monitoring but also overcomes the individual weakness, and this positive feature is proved by using 532 samples from the Egyptian Electricity Transmission Company (EETC). The second part overview the experimental setup for (66/11.86 kV-40 MVA) power transformer which exists in the Egyptian Electricity Transmission Company (EETC), the first section in this part analyzes the dissolved gases concentricity for many samples, and the second section illustrates the measurement of PD particularly in this case study. The results demonstrate that precise interpretation of oil transformers can be provided to system operators, thanks to the combination of the most appropriate techniques.
电力变压器在电力网络中被视为重要且昂贵的设备。在这方面，考虑从各种传感器收集的数据集，尽早发现变压器中的潜在故障能够确保电力系统的持续运行。的确，这些变压器的故障会造成高昂代价，并可能给电力公司带来巨大经济损失。溶解气体分析（DGA）以及使用不同智能传感器进行测量过程的局部放电（PD）测试，被用作检测油绝缘水平的诊断技术。本文包括两部分；第一部分是关于公认的溶解气体分析技术诊断结果之间的整合，在这部分中，所提出的技术被分为四种技术。不同DGA技术之间的整合不仅改善了油故障状态监测，还克服了各自的弱点，通过使用来自埃及输电公司（EETC）的532个样本证明了这一积极特性。第二部分概述了埃及输电公司（EETC）中存在的（66/11.86 kV - 40 MVA）电力变压器的实验装置，该部分的第一部分分析了许多样本的溶解气体浓度，第二部分说明了局部放电的测量，特别是在本案例研究中。结果表明，由于采用了最合适的技术组合，可以为系统操作员提供对油变压器的精确解读。
