DC micro-grid fault detection method based on data driving
By adopting a data-driven fault detection method in the DC microgrid, using the state space model and unknown input observer, the problem of fault detection under unknown system parameters is solved, and efficient fault detection and system stability improvement is achieved.
CN119986238AActive Publication Date: 2025-05-13NORTHEASTERN UNIV CHINA
Patent Information
- Application Number
- CN202510068984.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-16
- Publication Date
- 2025-05-13
- Estimated Expiration
- 2045-01-16
AI Technical Summary
Technical Problem
The prior art is difficult to implement fault detection in DC microgrids, especially when system parameters are unknown.
Method used
Using a data-driven method, the state space model of the DC microgrid is constructed, input and output data is collected, and the fault signal is detected using subspace identification technology and unknown input observers.
Benefits of technology
It realizes fault detection when the system parameters are unknown, and improves the fault detection capability of the DC microgrid and the stability and safety of the system.
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Abstract
The invention provides a DC micro-grid fault detection method based on data driving, and relates to the technical field of DC micro-grid fault detection and safety control. Under the condition that parameters of a micro-grid system are unknown, input and output data are obtained through system operation, and an unknown input observer is constructed for fault detection. Compared with a single system, the method has the advantages that non-measurable interconnection items are estimated in a data-driven framework, and a system matrix is identified. In addition, on the basis of designing an unknown input observer, the design of the observer is converted into solving a linear matrix inequality and considering a robust performance index and a sensitive performance index, and finally fault detection of each DC motor is realized. According to the method, under the condition that only input and output data are obtained, the designed detector can still complete a detection task, in addition, according to the method, a large amount of system operation process data are used, online use can be achieved through direct programming on a computer, and the cost is quite low.
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Citation Information
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