Partial Discharge Localization in GIS Using Electromagnetic Inverse Filter
Till now, many different methods like heuristic methods, and the method of time difference of arrival (TDoA) have been proposed and implemented for the localization of partial discharge in power equipment, but their weaknesses have made their usage to be limited in practice. Because in complex situations like the presence of noise, scattering, barriers, and inhomogeneous mediums the accuracy of results will be strongly reduced. The new time-reversal method that has been recently proposed in the field of partial discharge localization showed that can accurately localize partial discharge using just a single sensor. In this paper, the implementation of a different version of the time-reversal method in the electromagnetic regime, named inverse filter has been proposed for the localization of partial discharge in GIS. For evaluation of the proposed method, different scenarios are designed and simulated in two pipe-shape and T-shape structures of a GIS in CST-MWS. Results show that in the case of using minimum entropy for determining the moment of refocusing the waves, this method can accurately localize partial discharge in GIS, in all scenarios.
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Long-term Voltage Stability Assessment of an Integrated Transmission Distribution System based on LSTM recurrent neural network
*, Iraj Ganjkhani
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