Abstract
In the process of operation and maintenance of digital three-dimensional substation, affected by the fault feature extraction method, the anti-interference ability of the detection method is poor. Therefore, a digital three-dimensional substation fault detection method based on singular value decomposition is proposed. According to the digital twin five-dimensional concept, a three-dimensional management and control model of the substation is built, the real-time collected current signal is denoised, and then a new feature extraction method is designed by using the singular value decomposition theory, and the characteristic parameters of the fault signal are defined. Finally, the maximum wavelet singular value is calculated by combining the wavelet transformation method and the singular value decomposition principle. The fault detection is completed according to the mutation of singular value. The simulation experiment results show that the proposed fault detection method has improved the anti-interference ability by 44 and 86%. It is verified that the method proposed in this study has good fault detection effect, and provides auxiliary decision-making basis for relevant departments.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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© 2022 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Research Articles
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- Day-ahead and real-time congestion scheduling method for distribution network with multiple access to electric vehicle charging piles
- A real-time hybrid battery state of charge and state of health estimation technique in renewable energy integrated microgrid applications
- Adaptive Single Carrier Modulation scheme based MLI supported TDVC for Voltage Quality enhancement
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- A new reduced switch double boost five-level inverter with Self-Balancing of Capacitor Voltage
- Voltage control of standalone photovoltaic – electrolyzer- fuel cell-battery energy system
- Bad data identification and fault diagnosis of smart substation based on secondary system information redundancy
- Fault detection method of digital three-dimensional substation based on singular value decomposition
- Blockchain data privacy protection modeling based on CP-ABE algorithm
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Accounting for current limitation and input saturation in adaptive nonlinear control of fuel cell power system
- Day-ahead and real-time congestion scheduling method for distribution network with multiple access to electric vehicle charging piles
- A real-time hybrid battery state of charge and state of health estimation technique in renewable energy integrated microgrid applications
- Adaptive Single Carrier Modulation scheme based MLI supported TDVC for Voltage Quality enhancement
- Efficiency analysis of dual motor powertrain with planetary gear set
- Information model of low-voltage distribution IoT monitoring terminal based on IEC 61850
- Most Valuable Player based selective harmonic elimination in a cascaded H-bridge inverter for wide operating range
- A new reduced switch double boost five-level inverter with Self-Balancing of Capacitor Voltage
- Voltage control of standalone photovoltaic – electrolyzer- fuel cell-battery energy system
- Bad data identification and fault diagnosis of smart substation based on secondary system information redundancy
- Fault detection method of digital three-dimensional substation based on singular value decomposition
- Blockchain data privacy protection modeling based on CP-ABE algorithm