Osama Alshebani

• PhD Researcher
• Automation and Control

This paper presents a new method to measure the voltage across the submodule (SM) capacitors in a modular multilevel converter (MMC). The proposed technique requires only one voltage sensor per arm. This reduces the number of sensors required compared to conventional sensor-based methods. Therefore, the cost and complexity of the system are reduced...

This paper presents a new voltage estimation method for the submodule (SM) capacitor in a modular multilevel converter (MMC). The proposed method employs a Kalman filter (KF) algorithm to estimate the SM voltages of the converter. Compared with sensor-based methods, this scheme requires only one voltage sensor to achieve the voltage-balancing of th...

Different schemes of modified conventional sorting algorithms with low complexity are proposed in order to balance the voltages of submodule (SM) capacitors for the modular multilevel converter (MMC). Two different procedures are investigated in this study. The main idea is to achieve voltage balance within the MMC arms with fewer current sensors....

This paper employs a Kalman filter (KF) algorithm to estimate the capacitance of submodule (SM) capacitors in modular multilevel converters (MMCs). The proposed method can be used in the health condition monitoring technique of the capacitors. This proposed scheme estimates the capacitance of each individual capacitor from data of arm current and t...

This paper proposes an adaptive observer based on Kalman filter (KF) to estimate the capacitor voltages of Modular Multilevel Converters (MMC). The proposed method offers a considerable reduction in sensors count, hence the system cost and also increases the converter reliability. The paper also investigates several approaches linked to MMC; voltag...