Programs
- Ph. D. in Mechanical Engineering -
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Conference Paper
Publisher : TENSYMP 2017 - IEEE International Symposium on Technologies for Smart Cities
Source : TENSYMP 2017 - IEEE International Symposium on Technologies for Smart Cities, Institute of Electrical and Electronics Engineers Inc. (2017)
ISBN : 9781509062553
Keywords : Accurate estimation, Electric power transmission networks, Fundamental frequencies, Harmonic analysis, Harmonic estimation, MATLAB, MATLAB /simulink, Power quality, Power quality improvement, Renewable energy resources, Renewable energy source, Smart city, Smart grid, Smart power grids, Time-frequency localization, Wavelet transforms
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2017
Abstract : Among various power quality issues, presence of harmonics in voltage/current waveforms is a major one. It becomes prominent in smart grids, where renewable energy sources are integrated through power electronic interfaces. Efficiency of harmonic mitigation techniques depends on accurate estimation of fundamental and non-fundamental parts of the waveform. In this paper, an adaptive harmonic estimation technique based on empirical wavelet transform is proposed. This technique is applied to source current waveform measured from a sample power system with nonlinear load. During transients, the algorithm is found to be capable of tracking the change in the fundamental frequency with good time-frequency localization. Simulation of the algorithm is carried out in MATLAB/Simulink. Results are presented and discussed.
Cite this Research Publication : P. Keerthy, Maya, P., and Dr. Sindhu M. R., “An adaptive transient tracking harmonic detection method for power quality improvement”, in TENSYMP 2017 - IEEE International Symposium on Technologies for Smart Cities, 2017.