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首页> 外文期刊>European Transactions on Electrical Power >Zero-sequence-based relaying technique for protecting power transformers and its performance assessment using unsupervised learning ANN
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Zero-sequence-based relaying technique for protecting power transformers and its performance assessment using unsupervised learning ANN

机译:基于零序的继电保护技术及其无监督学习神经网络的性能评估

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In this paper a simple and robust new relaying technique for protecting transformers from internal winding faults is proposed. Based on the measurement of zero sequence current inside a delta winding, the technique greatly simplifies the conventional differential relaying arrangement when a delta winding is available. Despite the number of windings of the transformer and the location of the fault, only measurement of induced zero sequence current within the delta winding is needed. Since the proposed technique has been shown to be prone to generate false pick-up signals during inrush, a simple restraining criterion is proposed and analysed. Additionally, use of projection techniques based on self-organizing maps (SOM) is proposed in this paper as a valuable tool for analysing multivariable data which are generated from the huge number of possible combinations existing between switching instant and fault location. Finite element simulations and laboratory tests have been combined into SOM to validate the proposed relaying technique and the restraining criterion.
机译:在本文中,提出了一种保护变压器免受内部绕组故障的简单而强大的新继电器技术。基于三角形绕组内部零序电流的测量,当三角形绕组可用时,该技术极大地简化了传统的差分继电器布置。尽管变压器绕组的数量和故障的位置,都仅需要测量三角形绕组内的感应零序电流。由于已证明所提出的技术在涌入期间易于产生错误的拾取信号,因此提出并分析了简单的约束准则。此外,本文提出了基于自组织映射(SOM)的投影技术的使用,作为分析多变量数据的有价值的工具,这些数据是由切换瞬间和故障位置之间存在的大量可能组合产生的。有限元模拟和实验室测试已被组合到SOM中,以验证所提出的中继技术和约束准则。

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