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This paper presents a new fault classification scheme for electrical distribution networks using a negative sequence factor (F2) and artificial neural networks. The main objective is to develop a novel methodology to block the reclosers to avoid accidents with energized cables lying to ground. The proposed algorithm is able to identify the following fault types: shunt, series and simultaneous shunt-series...
This Panel Discussion proposes the development of methodologies to solve the Distribution System restoration problem, according to multiple objectives, such as to restore as much consumers as possible with minimal switching operations. This methodology uses graph theory to identify out-of-service areas and loops in the system. After that, the system switches are opened and closed based on a sensibility...
This work presents the basis of a new approach for fault diagnosis in Electrical Distribution Systems (EDS). This approach aims to classify different types of faults by means of the factor named as Negative Sequence Factor (F2). This factor is calculated from post-fault negative sequence and pre-fault positive sequence currents using Thévenin equivalents. Series, shunt and simultaneous faults with...
This paper presents the development of mathematical models for a thyristor controlled series compensator (TCSC) for voltage regulator devices and for remote bus voltage controls that are suitable to be used with the three-phase current injection method (TCIM) for power flow calculation. TCIM is a Newton method where the equations are written in rectangular coordinates resulting in a 6n x 6n Jacobian...
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