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This paper presents an approach to assess automatic fault location methods in power distribution systems. The proposed approach allows to consider the aleatory errors inherent to calculated, forecasted and measured values, typically required by the fault location methods for a more realistic and consistent evaluation. These errors can follow different mathematical distributions, according their source...
Two techniques for voltage sags characterisation and classification have been integrated. The objective is to assist monitoring systems in order to improve automatic recognition of faults. The abstraction of significant information (temporal and phasorial) is proposed to model faults based on simple descriptors instead of trying to obtain analytical models. A classification of such fault based on...
This paper presents the definition and the extended application of a fault location technique for power distribution systems based on the well defined equivalent sequence networks. The proposed location technique uses the voltages and currents measured at the main power substation and also at the DG source. The analysis is presented for a single phase to ground faults. The proposed fault localization...
In this paper, a methodology to face the problem of fault location considering distributed generation is presented. As one of most relevant characteristic of the proposed method, the fault current is estimated using the measurements of voltage and current obtained at the power substation and at the node where the DG is located. This last measurements avoid the modeling effort required to represent...
This paper presents an alternative to the traditional impedance based fault location methods, using a simple technique of the learning approaches called k-Nearest Neighbors (k-NN), where besides the fault location distance, the multiple estimation problem is also addressed. This approach only uses the single end measurements of voltage and current available at the power substation. As principal advantage,...
One of the widely recognized and most important aspects of power quality is related to power continuity. The fault location in power distribution systems is normally a not simple task, considering the complexity associated to these circuits due to several characteristics such as single end measurements, the presence of different conductors and line configurations, uncertain load distribution, presence...
The fault location method proposed in this paper uses a classification technique as the support vector machines (SVM), and an intelligent search based on variable neighborhood techniques to select the configuration parameters of the SVM. As result, a strategy is proposed to relate a set of descriptor obtained from single end measurements of voltage and current (input) to the faulted zone (output),...
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