Implementation of Power Quality Event Detector on a FPGA-Based System

Abstract:

The discrete wavelet transform (DWT) technique has been proposed for detecting and localizing transient disturbance in the power systems. The disturbance is detected by comparing the transformed signal with an empirically-given threshold. However, as the signal under analysis contains noises, especially the white noise with flat spectrum, the threshold is difficult to give. Due to the nature of flat spectrum, a filter cannot just get rid of the noise without removing the significant disturbance signals together. To enhance the WT technique in processing the noise-riding signals, this paper proposes a noise-suppression algorithm. The abilities of the WT in detecting and localizing the disturbances can hence be restored. Finally, this paper employed the actual data obtained from the practical power systems of Taiwan Power Company (TPC) to validate by digital implementation on an FPGA-based digital device for real-time de-noising function of the monitored PQ DWT data.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 3918-3922
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.3918
• Online since: January 2012
• Authors: Chiung Chou Liao, Ming Xuan Gu
• Keywords: Field-Programmable Gate Array (FPGA), Noise-Suppression Algorithm, Power Quality (PQ), Wavelet Transform (WT)

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