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Lookup NU author(s): Weichi ZhangORCiD, Dr Salaheddine Ethni, Dr Mohamed Dahidah, Professor Volker Pickert, hamza Khalfalla
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2019.
For re-use rights please refer to the publisher's terms and conditions.
This paper presents a novel condition monitoring scheme for sub-module (SM) capacitors in the modular multilevel converter (MMC), where the fast-affine projection (FAP) algorithm is cooperatively embedded in a dedicated range-based sorting scheme with reduced switching frequency to estimate the capacitor parameters. The proposed sorting scheme not only reduces the switching events of SMs, but also manages to maintain the capacitor ripple voltage within an acceptable range. Whilst the use of FAP achieves an on-line parametric estimation with superior speed and accuracy. Compared to previous studies, this proposed approach has significant advantages in terms of estimation accuracy and speed without the need for extra hardware. The effectiveness of the proposed approach is validated by a 5-level MMC model in MATLAB/Simulink. From simulation results, the estimation speed is less than 1.5 ms and the error is less than 3%.
Author(s): Zhang C, Zhang W, Ethni S, Dahidah M, Pickert V, Khalfalla H
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: The 10th International Renewable Energy Congress (IREC)
Year of Conference: 2019
Acceptance date: 02/04/2018
Date deposited: 06/06/2019
Publisher: IEEE
URL: https://www.irec-conference.com/
