Differential Protection of Microgrid using Signal Processing Approach

Abstract

A improved differential protection technique based on empirical mode decomposition is implemented with a small microgrid model. This research proposes an improved differential protection method for microgrid based on differential energy content of sampled current signal data. A modified empirical mode decomposition technique is used to decompose the raw current signals. The instantaneous energy content of most informative intrinsic mode function is computed for current waveforms. Threshold for differential energy content is selected to discriminate fault and no-fault conditions with varying operating conditions and varying network topology. The efficacy of the proposed technique is tested in terms of speed, dependability, reliability and security. Simulation outcomes displays versatility of the suggested approach.