Prediction Model to Estimate the Zero Crossing Point for Faulted Waveforms

• Main Author: Hossan, Md. Shakawat
• Format: Others
• Published: UKnowledge 2014
• Subjects: Zero Crossing Point; System Protection; Reliable Power Transmission; Fault Minimization; Fault Protection; Electrical and Computer Engineering; Power and Energy
• Online Access: http://uknowledge.uky.edu/ece_etds/53; http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1047&context=ece_etds

In any power system, fault means abnormal flow of current. Insulation breakdown is the cause of fault generation. Different factors can cause the breakdown: Wires drifting together in the wind, Lightning ionizing air, wires with contacts of animals and plants, Salt spray or pollution on insulators. The common type of faults on a three phase system are single line-to-ground (SLG), Line-to-line faults (LL), double line-to-ground (DLG) faults, and balanced three phase faults. And these faults can be symmetrical (balanced) or Unsymmetrical (imbalanced).In this Study, a technique to predict the zero crossing point has been discussed and simulated. Zero crossing point prediction for reliable transmission and distribution plays a significant role. Electrical power control switching works in zero crossing point when a fault occurs. The precision of measuring zero crossing point for syncing power system control and instrumentation requires a thoughtful approach to minimize noise and external signals from the corrupted waveforms A faulted current waveform with estimated faulted phase/s, the technique is capable of identifying the time of zero crossing point. Proper Simulation has been organized on MATLAB R2012a.