Study of modelling, analysis and testing of droop control for converter-connected generation in autonomous microgrids
Droop control is essential for sharing demand power between generators in autonomous microgrids where the electricity distribution grid provides no assistance. Droop control is essential for sharing demand power between generators in autonomous microgrids where the electricity distribution grid p...
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sg-ntu-dr.10356-1494662023-07-07T18:15:29Z Study of modelling, analysis and testing of droop control for converter-connected generation in autonomous microgrids Yong, Xun Jie Gooi Hoay Beng School of Electrical and Electronic Engineering Clean Energy Research Laboratory (CERL) Manandhar Ujjal EHBGOOI@ntu.edu.sg Engineering::Electrical and electronic engineering::Power electronics Droop control is essential for sharing demand power between generators in autonomous microgrids where the electricity distribution grid provides no assistance. Droop control is essential for sharing demand power between generators in autonomous microgrids where the electricity distribution grid provides no assistance. Since proportional load sharing may not be feasible in many cases of inverter-based microgrids, droop control plays a significant role in the microgrid frequency regulation sector. With the large-scale use of renewable energy sources, the conventional method of incorporating these renewable energy sources as grid following units has been shown to cause frequency instability in the current power system, which is increasingly evolving from a synchronous machine-based system to an inverter-dominated system. Many researchers have suggested that virtual inertia control algorithms be used to make virtual inertia generators behave as synchronous generators to the grid, thus preserving and improving system stability. Different load types and droop coefficients are investigated and evaluated in this report to assess the efficiency of the droop control. Through a study of the literature and simulation studies, it was discovered that if inertia and droop control can work in concert, the system's stability can be increased while the cost of storage is reduced. The suitability of a particular load type is determined by the degree of detail needed and the system control design used in the replication of synchronous generator dynamics. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-05-31T11:28:26Z 2021-05-31T11:28:26Z 2021 Final Year Project (FYP) Yong, X. J. (2021). Study of modelling, analysis and testing of droop control for converter-connected generation in autonomous microgrids. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149466 https://hdl.handle.net/10356/149466 en A1058-201 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Power electronics Yong, Xun Jie Study of modelling, analysis and testing of droop control for converter-connected generation in autonomous microgrids |
description |
Droop control is essential for sharing demand power between generators in
autonomous microgrids where the electricity distribution grid provides no assistance.
Droop control is essential for sharing demand power between generators in
autonomous microgrids where the electricity distribution grid provides no assistance.
Since proportional load sharing may not be feasible in many cases of inverter-based
microgrids, droop control plays a significant role in the microgrid frequency regulation
sector.
With the large-scale use of renewable energy sources, the conventional method of
incorporating these renewable energy sources as grid following units has been shown
to cause frequency instability in the current power system, which is increasingly
evolving from a synchronous machine-based system to an inverter-dominated system.
Many researchers have suggested that virtual inertia control algorithms be used to
make virtual inertia generators behave as synchronous generators to the grid, thus
preserving and improving system stability. Different load types and droop coefficients
are investigated and evaluated in this report to assess the efficiency of the droop control.
Through a study of the literature and simulation studies, it was discovered that if inertia
and droop control can work in concert, the system's stability can be increased while
the cost of storage is reduced. The suitability of a particular load type is determined by
the degree of detail needed and the system control design used in the replication of
synchronous generator dynamics. |
author2 |
Gooi Hoay Beng |
author_facet |
Gooi Hoay Beng Yong, Xun Jie |
format |
Final Year Project |
author |
Yong, Xun Jie |
author_sort |
Yong, Xun Jie |
title |
Study of modelling, analysis and testing of droop control for converter-connected generation in autonomous microgrids |
title_short |
Study of modelling, analysis and testing of droop control for converter-connected generation in autonomous microgrids |
title_full |
Study of modelling, analysis and testing of droop control for converter-connected generation in autonomous microgrids |
title_fullStr |
Study of modelling, analysis and testing of droop control for converter-connected generation in autonomous microgrids |
title_full_unstemmed |
Study of modelling, analysis and testing of droop control for converter-connected generation in autonomous microgrids |
title_sort |
study of modelling, analysis and testing of droop control for converter-connected generation in autonomous microgrids |
publisher |
Nanyang Technological University |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/149466 |
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1772827633259642880 |