| Autor: |
Upma Sahu, Anamika Yadav, Mohammad Pazoki |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
MethodsX, Vol 10, Iss , Pp 102018- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2215-0161 |
| DOI: |
10.1016/j.mex.2023.102018 |
| Popis: |
This paper presents a Fuzzy Inference System (FIS)-based method to detect a fault, identify the faulty section, and recognize the faulty pole in the Voltage Source Converter (VSC)-based Multi-Terminal High Voltage Direct Current (MT-HVDC) system. The method uses only rectifier end measurements of voltage and current signals. To achieve complete protection of the MT-HVDC system, three separate frameworks of FIS modules have been developed. The FIS-1 detects the presence of fault in either AC or DC segments. The FIS-2 identifies the fault section and eventually, the FIS-3 recognizes the faulty pole. The proposed method provides a rapid fault detection and it does not require any communication media as it is based on the rectifier-end measurements only. The efficacy of the implemented FIS-based method is evaluated in an MT-HVDC system simulated in MATLAB environment.Important highlights of this method are:- • FIS-based method is deployed using simple if-then rules, therefore very easy to implement. • Effortless means to exploit one end measurements of MTDC system in an environment accustomed to power engineer. • Proposed method provides a rapid fault detection and it does not require any communication link. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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