Data-driven method for online power system emergency control

In recent decades, electricity has been involved in almost all aspects of human society. And as the transporter of electricity, power system is being more and more important, or power system can be called the guarantee of electricity. Power system is usually stable, but sometimes it will also have s...

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Main Author: Zhou, Zheng
Other Authors: Xu Yan
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/163322
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1633222022-12-05T00:24:09Z Data-driven method for online power system emergency control Zhou, Zheng Xu Yan School of Electrical and Electronic Engineering xuyan@ntu.edu.sg Engineering::Electrical and electronic engineering Engineering::Computer science and engineering In recent decades, electricity has been involved in almost all aspects of human society. And as the transporter of electricity, power system is being more and more important, or power system can be called the guarantee of electricity. Power system is usually stable, but sometimes it will also have some faults. Especially when nowadays the penetration of renewable energy such as wind energy and photovoltaic energy is increasing, they may make it more challenging to maintain the system’s stability. The increased penetration of these new energies affects the transient and stable stability of power system a lot for their unpredictability. So, there should be some solutions for emergency control against instability. This paper proposes a data-driven method to decide the load shedding range as a power system emergency control method. Master of Science (Power Engineering) 2022-12-05T00:24:09Z 2022-12-05T00:24:09Z 2022 Thesis-Master by Coursework Zhou, Z. (2022). Data-driven method for online power system emergency control. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163322 https://hdl.handle.net/10356/163322 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Engineering::Computer science and engineering
spellingShingle Engineering::Electrical and electronic engineering
Engineering::Computer science and engineering
Zhou, Zheng
Data-driven method for online power system emergency control
description In recent decades, electricity has been involved in almost all aspects of human society. And as the transporter of electricity, power system is being more and more important, or power system can be called the guarantee of electricity. Power system is usually stable, but sometimes it will also have some faults. Especially when nowadays the penetration of renewable energy such as wind energy and photovoltaic energy is increasing, they may make it more challenging to maintain the system’s stability. The increased penetration of these new energies affects the transient and stable stability of power system a lot for their unpredictability. So, there should be some solutions for emergency control against instability. This paper proposes a data-driven method to decide the load shedding range as a power system emergency control method.
author2 Xu Yan
author_facet Xu Yan
Zhou, Zheng
format Thesis-Master by Coursework
author Zhou, Zheng
author_sort Zhou, Zheng
title Data-driven method for online power system emergency control
title_short Data-driven method for online power system emergency control
title_full Data-driven method for online power system emergency control
title_fullStr Data-driven method for online power system emergency control
title_full_unstemmed Data-driven method for online power system emergency control
title_sort data-driven method for online power system emergency control
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/163322
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