Abstract
| Original language | English |
|---|---|
| Number of pages | 11 |
| Journal | IEEE Transactions on Power Delivery |
| DOIs | |
| Publication status | Accepted/In press - 29 Jul 2019 |
Cite this
}
Arm-sensorless sub-module voltage estimation and balancing of modular multilevel converters. / Didarul Islam, Md; Razzaghi, Reza; Bahrani, Behrooz.
In: IEEE Transactions on Power Delivery, 29.07.2019.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Arm-sensorless sub-module voltage estimation and balancing of modular multilevel converters
AU - Didarul Islam, Md
AU - Razzaghi, Reza
AU - Bahrani, Behrooz
PY - 2019/7/29
Y1 - 2019/7/29
N2 - Modular Multilevel Converters (MMCs) have established their position as the choice of next-generation high voltage converters. These converters, however, require a bulk number of sensors in each phase for Sub-Modules (SMs) voltage balancing. A limited number of studies are found in the literature where the number of sensors is reduced by incorporating observers to estimate the SM voltages. Nonetheless, most of these methods require accurate measurements of the arm voltage. Thus, the dependency on sensors is not completely eliminated. In this paper, a Kalman-filter-based estimation of SM voltages is presented, which does not require any voltage sensor to measure the arm voltage. Therefore, this method considerably simplifies the implementation of MMCs. Extensive simulations and experimental test cases are conducted to validate the performance of the proposed SM voltage estimation method. The performance assessments verify the accuracy and robustness of the proposed method for various test scenarios performed over a wide range of sampling frequencies.
AB - Modular Multilevel Converters (MMCs) have established their position as the choice of next-generation high voltage converters. These converters, however, require a bulk number of sensors in each phase for Sub-Modules (SMs) voltage balancing. A limited number of studies are found in the literature where the number of sensors is reduced by incorporating observers to estimate the SM voltages. Nonetheless, most of these methods require accurate measurements of the arm voltage. Thus, the dependency on sensors is not completely eliminated. In this paper, a Kalman-filter-based estimation of SM voltages is presented, which does not require any voltage sensor to measure the arm voltage. Therefore, this method considerably simplifies the implementation of MMCs. Extensive simulations and experimental test cases are conducted to validate the performance of the proposed SM voltage estimation method. The performance assessments verify the accuracy and robustness of the proposed method for various test scenarios performed over a wide range of sampling frequencies.
U2 - 10.1109/TPWRD.2019.2931287
DO - 10.1109/TPWRD.2019.2931287
M3 - Article
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
SN - 0885-8977
ER -