A Novel Approach for Arcing Fault Detection for Medium-/Low-Voltage Switchgear

Switchgear arcing faults have been a primary cause for concern for the manufacturing industry and safety personnel alike. The deregulation of the power industry being in full swing and the ever-growing competitiveness in the distribution sector call for the transition from preventive to predictive maintenance. Switchgears form an integral part of the distribution system in any power system setup. Keeping in mind the switchgear arcing faults, the aforementioned transition applies, most of all, to the switchgear industry. Apart from the fact that it is the primary cause of serious injuries to electrical workers worldwide, switchgear arcing faults directly affect the quality and continuity of electric power to the consumers. A great amount of technological advancement has taken place in the development of arc-resistant/proof switchgears. However, most of these applications focus on minimizing the damage after the occurrence of the arcing fault. The problem associated with the compromise on the quality and continuity of electric power in such a scenario still awaits a technical as well as economically feasible solution. This paper describes the development of a novel approach for the detection of arcing faults in medium-/low-voltage switchgears. The basic concept involves the application of differential protection for the detection of any arcing within the switchgear. The new approach differs from the traditional differential concept in the fact that it employs higher frequency harmonic components of the line current as the input for the differential scheme. Actual arc-generating test benches have been set up in the Power System Simulation Laboratory at the Energy Systems Research Center to represent both medium- and low-voltage levels. Hall effect sensors in conjunction with data acquisition in LabVIEW are employed to record the line current data before, during, and after the arcing phenomenon. The methodology is first put to test via simulation approach for medium-vol- - tage levels and then corroborated by actual hardware laboratory testing for low-voltage levels. The plots derived from the data gathering and simulation process clearly underline the efficiency of this approach to detect switchgear arcing faults. Both magnitude and phase differential concepts seem to provide satisfactory results. Apart from the technical efficiency, the approach is financially feasible, considering the fact that the differential protection is already being comprehensively employed worldwide.