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Applying of Data Fusion Method for Improving the Protection System of the High Voltage DC Power Supply

Ayoubi, Ramin | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51216 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Kaboli, Shahriyar
  7. Abstract:
  8. Short-circuit fault detection is mandatory in a high voltage DC power supply to prevent fatal damage. The majority of converters employ a single sensor to detect the short-circuit fault. This attribute increases the interference vulnerability of the fault detection system in the presence of noise. Therefore, miss detections and false alarms are possible to occur. Miss detections and false alarms are harmful catastrophes in most applications. A commonly used method to suppress the noise impacts is using a low-bandwidth low-pass filter. However, the use of the low-bandwidth low-pass filter reduces the speed of fault detection due to the filter delay. This paper proposes a fast fault detection algorithm based on multisensor data fusion. The proposed fault detection system consists of three fault detection subsystems with high-bandwidth low-pass filters, which each one is individually implemented by sensing three distinct variables and reaches a local decision about the Short-circuit fault occurrence subsequently. Finally, all the local decisions are gathered in a decision fusion center and a global decision regarding the converter situation will be made based on the weighted decision fusion scheme. The simulation and experimental results confirm the performance of the proposed fault detection system in the presence of noise
  9. Keywords:
  10. Data Fusion ; Fault Detection ; Multisensory Systems ; High Voltage DC Power Supply ; Weighted Decision Fusion

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