Model predictive control for single-phase active neutral point clamped converter
The growing incorporation of renewable energy sources (RES), such as solar and wind power, into the power grid poses difficulties in maintaining grid stability and electricity quality due to their inherent fluctuations. Electricity converters serve the purpose of converting DC electricity from RES i...
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sg-ntu-dr.10356-1767312024-05-24T15:50:50Z Model predictive control for single-phase active neutral point clamped converter Ang, Ming Yang Amer M. Y. M. Ghias School of Electrical and Electronic Engineering amer.ghias@ntu.edu.sg Engineering The growing incorporation of renewable energy sources (RES), such as solar and wind power, into the power grid poses difficulties in maintaining grid stability and electricity quality due to their inherent fluctuations. Electricity converters serve the purpose of converting DC electricity from RES into AC power that is compatible with the electrical grid. Nevertheless, traditional control techniques used with these converters have constraints, such as elevated harmonic distortion and amplified switching losses, which may have an adverse effect on power quality and converter efficiency. This project investigates the effectiveness of MPC as a potential solution for controlling a SNPC converter, a type commonly used in RES integration. The objective of the project is to create and simulate an MPC algorithm in MATLAB/Simulink. This algorithm has three main goals: to ensure that the converter provides a stable and clean current to the grid, to maintain balanced voltages across the converter's DC-link capacitors for optimal functioning, and to minimise switching events within the converter to enhance overall efficiency and thermal performance. Bachelor's degree 2024-05-20T02:31:00Z 2024-05-20T02:31:00Z 2024 Final Year Project (FYP) Ang, M. Y. (2024). Model predictive control for single-phase active neutral point clamped converter. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176731 https://hdl.handle.net/10356/176731 en application/pdf Nanyang Technological University |
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The growing incorporation of renewable energy sources (RES), such as solar and wind power, into the power grid poses difficulties in maintaining grid stability and electricity quality due to their inherent fluctuations. Electricity converters serve the purpose of converting DC electricity from RES into AC power that is compatible with the electrical grid. Nevertheless, traditional control techniques used with these converters have constraints, such as elevated harmonic distortion and amplified switching losses, which may have an adverse effect on power quality and converter efficiency. This project investigates the effectiveness of MPC as a potential solution for controlling a SNPC converter, a type commonly used in RES integration. The objective of the project is to create and simulate an MPC algorithm in MATLAB/Simulink. This algorithm has three main goals: to ensure that the converter provides a stable and clean current to the grid, to maintain balanced voltages across the converter's DC-link capacitors for optimal functioning, and to minimise switching events within the converter to enhance overall efficiency and thermal performance. |
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Amer M. Y. M. Ghias |
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Amer M. Y. M. Ghias Ang, Ming Yang |
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Final Year Project |
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Ang, Ming Yang |
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Ang, Ming Yang |
title |
Model predictive control for single-phase active neutral point clamped converter |
title_short |
Model predictive control for single-phase active neutral point clamped converter |
title_full |
Model predictive control for single-phase active neutral point clamped converter |
title_fullStr |
Model predictive control for single-phase active neutral point clamped converter |
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Model predictive control for single-phase active neutral point clamped converter |
title_sort |
model predictive control for single-phase active neutral point clamped converter |
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Nanyang Technological University |
publishDate |
2024 |
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https://hdl.handle.net/10356/176731 |
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