Study on Different Chaotic Synchronization Systems to Islanding Detection of Smart grid
碩士 === 國立勤益科技大學 === 電機工程系 === 105 === Effective islanding detection is crucial for power grids that incorporate renewable energy generation. When islanding occurs and if the changes in voltage and frequency are not detected in time, damages to household appliances will be made due to voltage fluctua...
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ndltd-TW-105NCIT54420112019-05-16T00:15:12Z http://ndltd.ncl.edu.tw/handle/mptsr4 Study on Different Chaotic Synchronization Systems to Islanding Detection of Smart grid 不同混沌同步系統對智慧電網之孤島效應偵測研究 Jun-Ting Li 黎俊廷 碩士 國立勤益科技大學 電機工程系 105 Effective islanding detection is crucial for power grids that incorporate renewable energy generation. When islanding occurs and if the changes in voltage and frequency are not detected in time, damages to household appliances will be made due to voltage fluctuations. Mistaking that the grid is disconnected while renewable generation still powers the grid, the maintenance workers are exposed of the risk of being electrocuted. Therefore, an islanding prevention device must be installed for all distributed generation systems. Many methods of islanding detection have been proposed in research papers in the past. However, there are certain drawbacks to those methods. Islanding may not be detected by existing methods when the current and voltage are in the same phase or the frequency remains in normal range when islanding occurs. In this paper, performance comparison is carried out between different detection methods that combine non-autonomous Chua’s circuit, various fractional-order chaos systems and extension theory. The voltage signals of non-autonomous Chua’s circuit are analyzed based on the fact of chaos theory being a special case of nonlinear system theory. The property of small errors being amplified by a chaos system is also used in order to facilitate extension recognition on signal analysis. Kao-Nan Yu Her-Terng Yau 喻國湳 姚賀騰 2017 學位論文 ; thesis 60 zh-TW |
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碩士 === 國立勤益科技大學 === 電機工程系 === 105 === Effective islanding detection is crucial for power grids that incorporate renewable energy generation. When islanding occurs and if the changes in voltage and frequency are not detected in time, damages to household appliances will be made due to voltage fluctuations. Mistaking that the grid is disconnected while renewable generation still powers the grid, the maintenance workers are exposed of the risk of being electrocuted. Therefore, an islanding prevention device must be installed for all distributed generation systems.
Many methods of islanding detection have been proposed in research papers in the past. However, there are certain drawbacks to those methods. Islanding may not be detected by existing methods when the current and voltage are in the same phase or the frequency remains in normal range when islanding occurs. In this paper, performance comparison is carried out between different detection methods that combine non-autonomous Chua’s circuit, various fractional-order chaos systems and extension theory. The voltage signals of non-autonomous Chua’s circuit are analyzed based on the fact of chaos theory being a special case of nonlinear system theory. The property of small errors being amplified by a chaos system is also used in order to facilitate extension recognition on signal analysis.
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Kao-Nan Yu |
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Kao-Nan Yu Jun-Ting Li 黎俊廷 |
author |
Jun-Ting Li 黎俊廷 |
spellingShingle |
Jun-Ting Li 黎俊廷 Study on Different Chaotic Synchronization Systems to Islanding Detection of Smart grid |
author_sort |
Jun-Ting Li |
title |
Study on Different Chaotic Synchronization Systems to Islanding Detection of Smart grid |
title_short |
Study on Different Chaotic Synchronization Systems to Islanding Detection of Smart grid |
title_full |
Study on Different Chaotic Synchronization Systems to Islanding Detection of Smart grid |
title_fullStr |
Study on Different Chaotic Synchronization Systems to Islanding Detection of Smart grid |
title_full_unstemmed |
Study on Different Chaotic Synchronization Systems to Islanding Detection of Smart grid |
title_sort |
study on different chaotic synchronization systems to islanding detection of smart grid |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/mptsr4 |
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