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首页> 外文期刊>International journal of electrical power and energy systems >Transformer insulation coordination using volt-time curve and limit-state surface formulation
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Transformer insulation coordination using volt-time curve and limit-state surface formulation

机译:使用伏特-时间曲线和极限状态表面公式的变压器绝缘配合

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This paper presents a novel method for the power transformer insulation coordination, based on the risk of failure analysis due to lightning surges, that uses its insulation strength volt-time curve and a limit state surface formulation. The limit-state surface is derived in a novel way, from the optimal number of systematic numerical simulations of transformer terminal overvoltages emanating from station impinging lightning surges while accounting for the transformer insulation volt-time curve and surge arresters protective characteristics and disposition. The proposed method further employs a state-of-the-art transmission line (TL) and substation equipment models for lightning-surge transient analysis, constructed in the EMTP software package. It also uses the electrogeometric model of lightning attachment to TLs, in order to estimate the expected number of direct lightning strikes, along with a bivariate statistical distribution of lightning currents. The main aspects of the proposed method are demonstrated by means of the computational example featuring an air-insulated substation power transformer lightning insulation coordination. Simulation results exhibit many benefits of the proposed method. Sensitivity analysis further reveals different influences that the various model parameters have on the transformer insulation coordination design. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文基于雷电浪涌引起的故障分析风险,提出了一种用于电力变压器绝缘协调的新方法,该方法使用了其绝缘强度伏特-时间曲线和极限状态表面公式。极限状态表面是通过一种新颖的方法得出的,该方法是从对台站冲击雷电浪涌产生的变压器端子过电压进行系统数值模拟的最佳数量,同时考虑了变压器绝缘电压-时间曲线和电涌放电器的保护特性和配置。所提出的方法还采用了最先进的传输线(TL)和变电站设备模型来进行雷电瞬态分析,该模型在EMTP软件包中构建。它还使用闪电附着到TL的电几何模型,以便估计直接雷击的预期数量以及雷电流的双变量统计分布。通过以空气绝缘的变电站电力变压器防雷绝缘配合为特征的计算实例,说明了该方法的主要方面。仿真结果表明了该方法的许多优点。灵敏度分析进一步揭示了各种模型参数对变压器绝缘协调设计的不同影响。 (C)2017 Elsevier Ltd.保留所有权利。

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