Model predictive control based D-STATCOM using three-level simplified neutral point clamped inverter

In the modern distributed generation-based system, the power electronic interfacing gives rise to some of the power quality (PQ) problems, such as the load voltage issues and harmonics. These PQ problems will pollute the power distribution system. To maintain acceptable power quality in modern power...

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Bibliographic Details
Main Author: Li, Weiyi
Other Authors: Gooi Hoay Beng
Format: Thesis-Master by Research
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/154819
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Institution: Nanyang Technological University
Language: English
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Summary:In the modern distributed generation-based system, the power electronic interfacing gives rise to some of the power quality (PQ) problems, such as the load voltage issues and harmonics. These PQ problems will pollute the power distribution system. To maintain acceptable power quality in modern power systems, reactive power compensation is receiving more and more attention. A distribution static synchronous compensator (D-STATCOM) is a compensator which is used to control the flow of reactive power in the distribution system. In this project, the D-STATCOM is utilized to compensate the reactive power in the microgrids. A three-level simplified neutral point clamped inverter is introduced. It comprises a front-end dual buck converter and a conventional two-level inverter. The dual buck converter can provide full, half and zero dc-link voltages. Compared with the conventional inverter, the three-level simplified neutral point clamped inverter can provide a better compensating performance. The three-level simplified neutral point clamped inverter is integrated with the D-STATCOM to achieve a better reactive power compensation effect, while further reducing the harmonics of the current on the source side. The mathematical model of the system is formulated and the model predictive control-based method is implemented for the system. The developed system is verified in the MATLAB/SIMULINK platform and simulated in OPAL-RT using dSPACE as the controller.