A Novel Voltage Sensorless Estimation Method for Modular Multilevel Converters with a Model Predictive Control Strategy

Yantao Liao, Long Jin (), Jun You, Zhike Xu, Kaiyuan Liu, Hongbin Zhang, Zhan Shen and Fujin Deng
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Yantao Liao: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Long Jin: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Jun You: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Zhike Xu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Kaiyuan Liu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Hongbin Zhang: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Zhan Shen: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Fujin Deng: School of Electrical Engineering, Southeast University, Nanjing 210096, China

Energies, 2023, vol. 17, issue 1, 1-15

Abstract: This paper proposes a novel voltage estimation scheme for the modular multilevel converter (MMC) based on model predictive control (MPC). The developed strategy is presented by combining a disturbance observer (DOB) with an adaptive neural network (ANN) for voltage estimation in the MMC. Firstly, the ac-side and dc bus voltages are estimated as the disturbance items of the DOB which acts as the cost function during each control cycle and ensures the minimal computational cost. Then, the submodule (SM) capacitor voltage estimation is achieved based on the ANN with the estimated ac-side and dc bus voltages. The proposed method requires only one current sensor per arm and has a simple structure with three weights to be adjusted. Comprehensive simulation studies and experiments are presented to demonstrate its effectiveness and feasibility. The results indicate that the proposed method has a high accuracy, a fast dynamic response, and no effects on the original MPC performance.

Keywords: voltage estimation; modular multilevel converter (MMC); model predictive control (MPC); disturbance observer (DOB); adaptive neural network (ANN) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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