LAPSE:2023.29009
Published Article

LAPSE:2023.29009
Multi-Information Fusion-Based Hierarchical Power Generation-Side Protection System
April 12, 2023
Abstract
With renewable power sources and new topology structures being widely introduced into the power system, the current local information-based power generation-side protection cannot fully guarantee the protection performance and the safety coordination with the power grid. This paper proposes an improved hierarchical protection system on the power generation-side. The proposed system takes advantage of the fusion of multi-information provided by the system, station and local layers. The system layer provides the information such as system voltage control and power regulation demand, so that the generation-side protection and control system can adapt to the system operation mode and power regulation demand. The station layer realizes the coordination of the protection principle and action strategy among the related units through information interaction with the power grid, the automatic control system and the local layer protection. The local layer introduces the condition monitoring information and more abundant protection information to enhance the protection performance and master the generation units’ safety condition. To illustrate the hierarchical protection system construction method and actual application mode, the multi-information fusion-based comprehensive local layer protection method and the multi-generators information fusion-based hierarchical protection method are taken as examples. Case analysis shows that the proposed methods can reflect more slight internal fault forms and can adaptively determine the protection action characteristic and tripping strategy according to the system operating conditions and other generators’ fault conditions, which effectively improve the protection sensitivity and coordination capability. To provide reference and inspiration for follow-up research, the hierarchical protection system construction mode, communication technology and research approaches of new protection methods are further pointed out.
With renewable power sources and new topology structures being widely introduced into the power system, the current local information-based power generation-side protection cannot fully guarantee the protection performance and the safety coordination with the power grid. This paper proposes an improved hierarchical protection system on the power generation-side. The proposed system takes advantage of the fusion of multi-information provided by the system, station and local layers. The system layer provides the information such as system voltage control and power regulation demand, so that the generation-side protection and control system can adapt to the system operation mode and power regulation demand. The station layer realizes the coordination of the protection principle and action strategy among the related units through information interaction with the power grid, the automatic control system and the local layer protection. The local layer introduces the condition monitoring information and more abundant protection information to enhance the protection performance and master the generation units’ safety condition. To illustrate the hierarchical protection system construction method and actual application mode, the multi-information fusion-based comprehensive local layer protection method and the multi-generators information fusion-based hierarchical protection method are taken as examples. Case analysis shows that the proposed methods can reflect more slight internal fault forms and can adaptively determine the protection action characteristic and tripping strategy according to the system operating conditions and other generators’ fault conditions, which effectively improve the protection sensitivity and coordination capability. To provide reference and inspiration for follow-up research, the hierarchical protection system construction mode, communication technology and research approaches of new protection methods are further pointed out.
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Keywords
hierarchical protection system, local layer, multi-information fusion, power generation-side, station layer, system layer
Subject
Suggested Citation
Yin X, Wang Y, Qiao J, Xu W, Yin X, Jiang L, Xi W. Multi-Information Fusion-Based Hierarchical Power Generation-Side Protection System. (2023). LAPSE:2023.29009
Author Affiliations
Yin X: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Wang Y: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Qiao J: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Xu W: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Yin X: Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3BX, UK
Jiang L: Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3BX, UK
Xi W: Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China
Wang Y: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Qiao J: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Xu W: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
Yin X: Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3BX, UK
Jiang L: Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3BX, UK
Xi W: Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China
Journal Name
Energies
Volume
14
Issue
2
Article Number
en14020327
Year
2021
Publication Date
2021-01-08
ISSN
1996-1073
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PII: en14020327, Publication Type: Journal Article
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https://doi.org/10.3390/en14020327
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