A fault tolerant control technique for hybrid modular multi-level converters with fault detection capability

Abdelsalam, Mahmoud; Mostafa Ibrahim Mohamed Marei; Diab, Hatem Yassin; Tennakoon, Sarath B.;

Abstract


In addition to its modular nature, a Hybrid Modular Multilevel Converter (HMMC) assembled from half-bridge and full-bridge sub-modules, is able to block DC faults with a minimum number of switching devices, which makes it attractive for high power applications. This paper introduces a control strategy based on the Root-Least Square (RLS) algorithm to estimate the capacitor voltages instead of using direct measurements. This action eliminates the need for voltage transducers in the HMMC sub-modules and the associated communication link with the central controller. In addition to capacitor voltage balancing and suppression of circulating currents, a fault tolerant control unit (FTCU) is integrated into the proposed strategy to modify the parameters of the HMMC controller. On advantage of the proposed FTCU is that it does not need extra components. Furthermore, a fault detection unit is adapted by utilizing a hybrid estimation scheme to detect sub-module faults. The behavior of the suggested technique is assessed using PSCAD offline simulations. In addition, it is validated using a real-time digital simulator connected to a real time controller under various normal and fault conditions. The proposed strategy shows robust performance in terms of accuracy and time response since it succeeds in stabilizing the HMMC under faults.


Other data

Title A fault tolerant control technique for hybrid modular multi-level converters with fault detection capability
Authors Abdelsalam, Mahmoud; Mostafa Ibrahim Mohamed Marei ; Diab, Hatem Yassin; Tennakoon, Sarath B.
Keywords Fault detection unit;Fault tolerant control unit;Hardware in the loop;Hybrid modular multilevel converter;Recursive least square
Issue Date 1-Mar-2018
Publisher KOREAN INST POWER ELECTRONICS
Journal Journal of Power Electronics 
Volume 18
Issue 2
Start page 558
End page 572
ISSN 15982092
DOI 10.6113/JPE.2018.18.2.558
Scopus ID 2-s2.0-85044462322
Web of science ID WOS:000428026300022

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