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A new algorithm based on the morphological gradient for avoiding mal-operation of transformer differential protection

机译：基于形态梯度的避免变压器差动保护误动的新算法

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To avoid the mal-operation of transformer differential protection when external fault occurs with current transformer (CT) saturation, a new algorithm based on the mathematical morphology is put forward in this paper. Unlike the conventional Time Differential Method, the new algorithm only needs detecting the instant of fault occurring, while the instant of differential current appearance is no more needed. A new current waveform is obtained by a symmetrical transformation of initial part of differential current after fault occurrence, and then its characteristic is exacted by morphological gradient. In the case of CT serious saturation, a discrimination of external fault and internal fault can be clearly made by this algorithm. In addition, analysis shows that the new algorithm based on the mathematical morphology could also be applied for the identification of transferring fault (external fault transfers to internal fault). Simulation results of MATLAB validate its feasibility and reliability.
机译：为避免因电流互感器饱和而出现外部故障时变压器差动保护误动，提出了一种基于数学形态学的新算法。与传统的时间差分方法不同，新算法仅需要检测故障发生的瞬间，而不再需要差分电流出现的瞬间。故障发生后，通过对差动电流的初始部分进行对称变换，得到一个新的电流波形，然后通过形态学梯度来精确表征其特性。在CT严重饱和的情况下，该算法可以清楚地区分外部故障和内部故障。此外，分析表明，基于数学形态学的新算法也可用于识别故障转移（从外部故障转移到内部故障）。 MATLAB的仿真结果验证了其可行性和可靠性。

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