A protection method for multi-terminal HVDC system based on fuzzy approach

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:-center dot FIS-based method is deployed using simple if-then rules, therefore very easy to implement.center dot Effortless means to exploit one end measurements of MTDC system in an environment accus-tomed to power engineer.center dot Proposed method provides a rapid fault detection and it does not require any communication link.

Automated summary

This paper presents a Fuzzy Inference System (FIS)-based method for fault detection, fault section identification, and faulty pole recognition in the MT-HVDC system. The method only utilizes rectifier end measurements of voltage and current signals. Three separate frameworks of FIS modules are developed for complete protection. The proposed method provides rapid fault detection without the need for communication.