FPGA를 활용한 DC계통 고장진단에 관한 연구
A Study on fault diagnosis of DC transmission line using FPGA
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초록
본 논문에서는 DC 계통의 지락고장시 고속 고장진단을 위해 FPGA를 이용한 인공지능기반 고장진단 방법을 제안한다. 인공지능알고리즘을 고장진단에 적용시 많은 연산량과 대용량의 실시간 데이터 처리가 요구된다. 또한 DC 계통에서의 고장 및 사고는 고장전류의 빠른 상승률로 인하여 DC 차단기가 고속 차단능력이 필요하다. 인공지능기반 고속 고장진단이 가능한 FPGA를 사용하여DC 차단기가 더 빠르게 동작함으로써, DC 차단기의 차단용량을 줄일 수 있다. 따라서 본 논문에서는 Matlab Simulink를 이용하여 DC계통의 고장 모의를 통해 고장데이터를 수집하여 지능형 고속 진단 알고리즘 구현하였으며, FPGA에 지능형 고속고장 진단알고리즘을 적용 및 성능검증을 하였다.
Abstract
In this paper, we propose an artificial intelligence-based high-speed fault diagnosis method using an FPGA inthe event of a ground fault in a DC system. When applying artificial intelligence algorithms to fault diagnosis, asubstantial amount of computation and real-time data processing are required. By employing an FPGA withAI-based high-speed fault diagnosis, the DC breaker can operate more rapidly, thereby reducing the breakingcapacity of the DC breaker. therefore, in this paper, an intelligent high-speed diagnosis algorithm wasimplemented by collecting fault data through fault simulation of a DC system using Matlab/Simulink. Subsequently,the proposed intelligent high-speed fault diagnosis algorithm was applied to the FPGA, and performanceverification was conducted.
참고문헌 (12)
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