Title :
High impedance fault detection method efficiency: Simulation vs. real-world data acquisition
Author :
Ghaderi, Amin ; Mohammadpour, Hossein Ali ; Ginn, Herbert
Author_Institution :
Dept. of Electr. Eng., Univ. of South Carolina, Columbia, SC, USA
Abstract :
In this paper, the reliability of a novel high impedance fault (HIF) detection method is compared for two data acquisition cases, namely, real-world and simulation. The real-world data is collected in high current research laboratory, and the simulation data is acquired using PSCAD/EMTDC software. The real-world condition is set to the most practical conditions (noisy environment, magnetic-core CTs). It is observed that although the proposed HIF detection method shows perfect reliability for the simulated HIF, its reliability for real-world data is considerably lower. From the comparison between the proposed detection algorithm reliability between the simulation and real-world data, it is concluded that it is not sufficient to prove the method reliability solely using the data acquired from simulation or impractical real-world cases, measurement noise. In order to increase the method reliability for real-world data, four actions are proposed in this paper; using a more complex classifier, a larger feature set, a wavelet based de-noising algorithm, and decreasing the method speed.
Keywords :
data acquisition; fault diagnosis; power distribution faults; power distribution protection; reliability; signal classification; signal denoising; wavelet transforms; HIF detection method; PSCAD-EMTDC software; data acquisition; detection algorithm reliability; high impedance fault detection method; method reliability; wavelet based denoising algorithm; Data acquisition; Data models; Fault detection; Feature extraction; Impedance; Reliability; Time-frequency analysis;
Conference_Titel :
Power and Energy Conference at Illinois (PECI), 2015 IEEE
Conference_Location :
Champaign, IL
DOI :
10.1109/PECI.2015.7064882