Power system overvoltage detection based on a morphological filtering algorithm

The fast development of electronics and the use of diverse electronic based materials have brought with themselves many new aspects of challenges to be faced by electric power providers. Overvoltages as the main cause of damages and accidents in power distribution networks represent the important aspect that is being studied in order to provide better energy to consumers giving the double advantage of preserving and reducing accidents in both the energy user and the provider sides. The work presented in this paper is one step of the overvoltage detection system to be designed by the authors. Several cases of overvoltages have been studied and simulated on ATP-EMTP software to help adjusting choices of the most suitable morphological filtering algorithm to perform the detection part of the future online overvoltages monitoring system. The authors have focussed on the overvoltage time and frequency research results to make the assertions on overvoltages waveforms processing based on mathematical morphology theory. Experiments related to different overvoltages types and amplitudes have helped to parameterize the most suitable detection algorithm. Simulation results done with MATLAB show the efficiency of the morphological gradient detection algorithm specialized for power system overvoltage detection.