loading page

Multiple harmonic sources identification including inverter-based distributed generations using empirical Fourier decomposition
  • Shayan Z.T.Motlagh,
  • Asghar Akbari Foroud
Shayan Z.T.Motlagh
Semnan University

Corresponding Author:sztmotlagh@semnan.ac.ir

Author Profile
Asghar Akbari Foroud
Semnan University
Author Profile


This paper proposes an intelligent approach based on the empirical Fourier decomposition (EFD) to identify harmonic sources at the point of common coupling (PCC) when different inverter-based distributed generations (DGs) like microturbine (MT), Battery energy storage system (BESS), photovoltaic (PV), superconducting magnetic energy storage (SMES), wind turbine with a permanent magnet synchronous generator (PMSG), and doubly-fed induction generator (DFIG) wind turbine are presented. In order to decrease memory storage and computational burden, strife feature selection is used. Applying just voltage signals consumes less processing time and decreases measurement devices. Moreover, the whale optimization algorithm (WOA) as the optimizer of the parameters of the support vector machine (SVM) classifier is used. Consequently, the results from the proposed method can be helpful for both engineers and researchers to plan and develop a better strategy to mitigate harmonic distortion.
12 Oct 2022Submitted to IET Generation, Transmission & Distribution
31 Oct 2022Submission Checks Completed
31 Oct 2022Assigned to Editor
30 Nov 2022Reviewer(s) Assigned
02 Jan 2023Review(s) Completed, Editorial Evaluation Pending
08 Jan 2023Editorial Decision: Revise Major
04 Feb 20231st Revision Received
06 Feb 2023Submission Checks Completed
06 Feb 2023Assigned to Editor
08 Feb 2023Reviewer(s) Assigned
08 Mar 2023Review(s) Completed, Editorial Evaluation Pending
15 Mar 2023Editorial Decision: Accept