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Currently, the main methods of fault location are based on traveling waves. In the presence of noise, the performance of such methods tends to decrease. Therefore, this paper presents a performance evaluation of four noise reduction morphological filters applied to the fault location methods for HVDC lines. In the analyses, different morphological filter configurations are adopted, as well as various...
This study proposes a novel observability analysis approach for power systems state estimation. To support this approach, the study also proposes a constrained linear regularised state estimator in which equality constraints are explicitly represented, thus resulting in a well-conditioned mathematical model where numerical problems are not prone to occur. A proper mode to specify values for the required...
This paper presents a learning-based strategy that uses decision trees for locating faults in radial power systems, which is aimed to improve the power quality as demanded by the deregulated electrical markets. The proposed method first subdivides the power system into several regions, and then, a classification technique based on decision trees is trained using a fault database. The obtained decision...
This paper investigates the practical application of a fault location method based on sparse voltage measurements and proposes the use of additional information that is currently or potentially available to the utilities in order to make a refinement in fault location results. The additional information may be associated to consumer calls, lightning incidence, voltage and current magnitude measurement...
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