Title: Harmonic/inter-harmonics detection using modified exact model order-based ESPRIT

Authors: Ankit Kumar Srivastava; A.N. Tiwari; Sri Niwas Singh; Praveen Prakash Singh

Addresses: Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh-273010, India ' Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh-273010, India ' Department of Electrical Engineering, Indian Institute of Technology, Kanpur, Uttar Pradesh-208016, India ' Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate Tee 5, 19086 Tallinn, Estonia

Abstract: Problems related to harmonics/interharmonics are growing rapidly in power system with the increasing use of power electronic devices. This paper focuses on estimating the harmonics/interharmonics using modified exact model order - estimation of signal parameters via rotational invariance technique (MEMO-ESPRIT). The modified exact model order (EMO) method is used to reduce the computational burden in detecting the harmonics/interharmonics components. Comparison has been made between EMO and MEMO to demonstrate the effectiveness of MEMO based method. Moreover, various parameter values like noise, size of autocorrelation matrix, etc. are varied to see their effects on the computational burden and accuracy of MEMO method. The performance of MEMO-ESPRIT algorithm is analysed with synthetic signals, single-phase PWM inverter and 250 kW grid-connected PV arrays using MATLAB/Simulink. The root-mean-square relative error has been obtained to validate the accuracy of the algorithm.

Keywords: harmonics/interharmonics estimation; MEMO; FFT; ESPRIT; EMO; parametric method; model order estimation; eigenvalue decomposition; power quality; fundamental frequency deviation.

DOI: 10.1504/IJPELEC.2023.128868

International Journal of Power Electronics, 2023 Vol.17 No.2, pp.218 - 233

Received: 09 Jan 2021
Accepted: 21 Sep 2021
Published online: 08 Feb 2023 *

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