Distributed voltage control in an islanded microgrid system with uncertainties
In recent years, renewable energy sources are heavy relied upon to reduce carbon emission and reducing the cost of energy. A microgrid is a local energy grid which can be operated in both islanded and grid-connected mode. While microgrids have many advantages, there are still challenges faced such a...
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sg-ntu-dr.10356-1581192023-07-07T19:34:09Z Distributed voltage control in an islanded microgrid system with uncertainties Png, Juliana Hui Min Wen Changyun School of Electrical and Electronic Engineering ECYWEN@ntu.edu.sg Engineering::Electrical and electronic engineering::Power electronics In recent years, renewable energy sources are heavy relied upon to reduce carbon emission and reducing the cost of energy. A microgrid is a local energy grid which can be operated in both islanded and grid-connected mode. While microgrids have many advantages, there are still challenges faced such as frequency and voltage fluctuations. This paper will be focusing on voltage restoration of the secondary control of a distributed AC microgrid system. Implementing an adaptive backstepping control method to solve the voltage fluctuation problem more efficiently compared to an adaptive fuzzy sliding mode controller. MATLAB Simulink will be used to design an islanded AC microgrid with 4 distributed generators in the sight of unknown parameters like resistances for the chosen advanced control method, adaptive backstepping control. The simulation results are successful in terms of voltage restoration. Keywords: voltage restoration; distributed AC microgrid; adaptive backstepping control; adaptive fuzzy sliding mode controller Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-30T10:51:59Z 2022-05-30T10:51:59Z 2022 Final Year Project (FYP) Png, J. H. M. (2022). Distributed voltage control in an islanded microgrid system with uncertainties. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158119 https://hdl.handle.net/10356/158119 en A1162-211 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Power electronics Png, Juliana Hui Min Distributed voltage control in an islanded microgrid system with uncertainties |
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In recent years, renewable energy sources are heavy relied upon to reduce carbon emission and reducing the cost of energy. A microgrid is a local energy grid which can be operated in both islanded and grid-connected mode. While microgrids have many advantages, there are still challenges faced such as frequency and voltage fluctuations. This paper will be focusing on voltage restoration of the secondary control of a distributed AC microgrid system. Implementing an adaptive backstepping control method to solve the voltage fluctuation problem more efficiently compared to an adaptive fuzzy sliding mode controller. MATLAB Simulink will be used to design an islanded AC microgrid with 4 distributed generators in the sight of unknown parameters like resistances for the chosen advanced control method, adaptive backstepping control. The simulation results are successful in terms of voltage restoration.
Keywords: voltage restoration; distributed AC microgrid; adaptive backstepping control; adaptive fuzzy sliding mode controller |
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Wen Changyun |
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Wen Changyun Png, Juliana Hui Min |
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Final Year Project |
author |
Png, Juliana Hui Min |
author_sort |
Png, Juliana Hui Min |
title |
Distributed voltage control in an islanded microgrid system with uncertainties |
title_short |
Distributed voltage control in an islanded microgrid system with uncertainties |
title_full |
Distributed voltage control in an islanded microgrid system with uncertainties |
title_fullStr |
Distributed voltage control in an islanded microgrid system with uncertainties |
title_full_unstemmed |
Distributed voltage control in an islanded microgrid system with uncertainties |
title_sort |
distributed voltage control in an islanded microgrid system with uncertainties |
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Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/158119 |
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1772826667987763200 |