Analysis of Resistive Type SFCL for Optimum Performance with Relay using AI Techniques


  • Vipul Sharma M. Tech. Scholar, NRI Institute of Research & Technology, Bhopal, India
  • Ms. Madhu Upadhyay Head of Department, NRI Institute of Research & Technology, Bhopal, India


SFCL, DG, SC, Shunt.


The fault current levels of an interconnected power network have witnessed a general rise due to increase in power demand. In this study are designing of test system comprising of superfluous fault current limiter.  This system shall be used to check the different AI based control algorithms on relay operation. The coordination and control of the relay based in accordance with the SFCL operation by using an efficient artificial based technique. To reduce the operating time of SFCL and senses the fault current quickly to overcome its effects. The best proposed algorithm should be implemented in an IEEE 9 bus system comprising of hybrid renewable energy resource. The system is effective and efficient while dealing with the fault situation. The work has done experiments on a test system and studied the effects of SFCL on it by changing the controlling algorithms for fast sensing and mitigation of fault current in the relay circuit.


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How to Cite

Sharma, V., & Upadhyay, M. M. (2020). Analysis of Resistive Type SFCL for Optimum Performance with Relay using AI Techniques. SMART MOVES JOURNAL IJOSCIENCE, 6(4), 17–25. Retrieved from