基于离散傅立叶变换的IEEE 9总线系统故障识别方法

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI:10.1109/ICSTCEE54422.2021.9708579

B. Chatterjee, Subhrajyoti Sarkar

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引用次数: 0

摘要

提出了一种基于离散傅立叶变换(DFT)和序列分量分析(SCA)的IEEE 9总线系统故障检测与分类算法。该方案仅利用线路单端电压数据。为了评估该方案的实用性和鲁棒性，进行了大量的仿真。仿真结果表明，该方法可以成功地应用于测试系统，故障分类准确率达到100%。

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A Discrete Fourier Transform Based Fault Identification Scheme for IEEE 9-bus System

This study proposes a fault detection and classification algorithm for IEEE 9-bus system using discrete Fourier transform (DFT) and sequence component analysis (SCA). This scheme makes use of only voltage data from single-end of the line. Wide range of simulation has been run to asses the utility and robustness of the scheme. Simulation results reveal that this scheme can be successfully applied on a test system, as fault classification accuracy is 100%.

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2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)

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