Optimal Placement Multi-Criteria of SFCL withGenetic Algorithm for Protection of an ElectricalPower System
محل انتشار: دهمین کنفرانس حفاظت و کنترل سیستم های قدرت
سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 171
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شناسه ملی سند علمی:
PSPC10_019
تاریخ نمایه سازی: 20 بهمن 1401
چکیده مقاله:
This paper describes a study on the optimal location ofa resistive superconducting fault current limiter (SFCL) appliedto an electric power grid. Fault current levels and power flowpatterns are influenced by the presence of distributed generations(DGs) in an electric power system. The change in the faultcurrent levels caused by DG installation may require a change inthe coordination of relays to prevent their disoperation. WhenDGs are installed in an electric power system, SFCLs can be usedto help reduce the fault currents within the breaking capacity ofthe protective devices. In this paper, multiple-criteria such asfault current reduction, number of SFCLs, and the totaloperating time of the relays are considered with geneticalgorithm (GA) in order to determine the optimal placement ofSFCLs for protection of an electric power system with DGs. AlsoGA based approach is used to solve the multi-criteria SFCLplacement problem. The IEEE ۱۴ bus test system is used toevaluate the effectiveness of the proposed method with the casestudies based on time-domain simulation. Numerical simulationsare also carried out to demonstrate the effectiveness of theproposed approach.
کلیدواژه ها:
Superconducting Fault Current Limiters (SFCL)-Distributed generation (DG) ، relay coordination ، superconductingelectric power ، genetic algorithm (GA).
نویسندگان
Majid Alizadeh Moghadam
Electrical Engineering DepartmentGhiaseddin Jamshid Kashani UniversityTehran, Iran
Rasoul Feiz Kerendian
Electrical Engineering DepartmentGhiaseddin Jamshid Kashani UniversityTehran, Iran
Reza Noroozian
Electrical Engineering DepartmentUniversity of ZanjanZanjan, Iran
Siavash Vadizadeh
Electrical Engineering DepartmentGhiaseddin Jamshid Kashani UniversityTehran, Iran