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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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/163322 |
| _version_ | 1826110426719453184 |
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| author | Zhou, Zheng |
| author2 | Xu Yan |
| author_facet | Xu Yan Zhou, Zheng |
| author_sort | Zhou, Zheng |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T02:34:14Z |
| format | Thesis-Master by Coursework |
| id | ntu-10356/163322 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:34:14Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | Engineering::Electrical and electronic engineering Engineering::Computer science and engineering Zhou, Zheng Data-driven method for online power system emergency control |
| title | 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_short | Data-driven method for online power system emergency control |
| title_sort | data driven method for online power system emergency control |
| topic | Engineering::Electrical and electronic engineering Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/163322 |
| work_keys_str_mv | AT zhouzheng datadrivenmethodforonlinepowersystememergencycontrol |