Load Unbalanced Compensation Method with Artificial Neural Network for Grid-Connected Four-Leg Inverter

Chang Gyun An, Hoon Lee, Tae Gyu Kim, Kyung Min Kang, Junsin Yi, Chung Yuen Won

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper proposes unbalanced load compensation (LUC) method with artificial neural network (ANN) for grid-connected four-leg inverter. The proposed method consists of reference calculation and controllers for compensating the unbalanced current for four-leg inverter based on an ANN system. The ANN based calculation and controllers are trained by MATLAB toolbox using Levenberg-Marquardt. The PSIM simulation is provided to validate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationICEMS 2021 - 2021 24th International Conference on Electrical Machines and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages253-257
Number of pages5
ISBN (Electronic)9788986510218
DOIs
StatePublished - 2021
Externally publishedYes
Event24th International Conference on Electrical Machines and Systems, ICEMS 2021 - Gyeongju, Korea, Republic of
Duration: 31 Oct 20213 Nov 2021

Publication series

NameICEMS 2021 - 2021 24th International Conference on Electrical Machines and Systems

Conference

Conference24th International Conference on Electrical Machines and Systems, ICEMS 2021
Country/TerritoryKorea, Republic of
CityGyeongju
Period31/10/213/11/21

Keywords

  • four-leg inverter
  • grid-connected
  • load unbalanced compensation (LUC)
  • neural network

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