Power Quality Assessment using Change Detection and DFT
K. Deepthi
K. Deepthi, Department of Electrical & Electronic Engineering, Sagi Rama Krishnam Raju Engineering College, Bhimavaram (Andhra Pradesh), India.
Manuscript received on 11 May 2019 | Revised Manuscript received on 05 June 2019 | Manuscript Published on 15 June 2019 | PP: 100-105 | Volume-8 Issue-1S3 June 2019 | Retrieval Number: A10190681S319/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Uninterrupted examination of Power Quality (PQ) problems in electrical power distribution network has become a significant problem for consumers at different levels. For maintaining accurate performance of electrical and electronic equipment, assessment of PQ disturbances is required. This paper introduces a new technique for PQ disturbances detection and classification with minimum computational complexity. The presence of disturbance in the sinusoidal signal is identified using Voltage slope detection method and the type of disturbance is classified using Discrete Fourier Transform (DFT). Results proves that the proposed method is optimum and the overall accuracy is high compared to other methods.
Keywords: Classification, Disturbance Detection, Discrete Fourier Transform, Power Quality (PQ), PQ Disturbances, Signal Model.
Scope of the Article: Low-power design