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Load Unbalanced Compensation Method with Artificial Neural Network for Grid-Connected Four-Leg Inverter
- Authors
- GYUN, A. C.[GYUN, AN CHANG]; Lee, H.[Lee, H.]; GYU, K. T.[GYU, KIM TAE]; MIN, K. K.[MIN, KANG KYUNG]; Yi, J.[Yi, J.]; Won, C.-Y.[Won, C.-Y.]
- Issue Date
- 2021
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- four-leg inverter; grid-connected; load unbalanced compensation (LUC); neural network
- Citation
- ICEMS 2021 - 2021 24th International Conference on Electrical Machines and Systems, pp.253 - 257
- Indexed
- SCOPUS
- Journal Title
- ICEMS 2021 - 2021 24th International Conference on Electrical Machines and Systems
- Start Page
- 253
- End Page
- 257
- ISSN
- 0000-0000
- 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. © 2021 KIEE & EMECS.
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Related Researcher
- YI, JUN SIN
- Information and Communication Engineering (Electronic and Electrical Engineering)