Deployment of MEMO-ESPRIT Python Tool at GIFT City Testbed for Harmonic/Interharmonic Analysis

This paper proposes an idea of using MEMO-ESPRIT (Modified Exact Model Order based Estimation of Signal Parameter via Rotational Invariance Technique) based python tool for estimating harmonics/interharmonics in the supply system. This Paper also puts forward the idea of a low-cost device capable of on-site as well as remote monitoring of harmonic/interharmonic. The python-based tool 'pymonics' can be installed and run even on low-cost hardware like Raspberry Pi. The tool is deployed on a workstation at GIFT City infrastructure and has been used to perform power quality estimations on the Aeration Blower. Since the signal estimated is unknown, relative rms reconstruction error has been calculated to show the estimation accuracy.