Date of Award
2023
Document Type
Open Access Master's Thesis
Degree Name
Master of Science in Electrical and Computer Engineering (MS)
Administrative Home Department
Department of Electrical and Computer Engineering
Advisor 1
Flavio Bezerra Costa
Committee Member 1
Bruce Mork
Committee Member 2
Chee-Wooi Ten
Abstract
Addressing the evolving challenges in modern power systems induced by the integration of Inverter Based Resources (IBRs), such as solar inverters, wind turbine converters, electric vehicle charging stations etc is the main goal of this research. The study focuses on the critical task of harmonic phasor estimation in the presence of sub-harmonics, inter-harmonics, time-varying harmonics, DC offset, transient events, and other power quality disturbances. A novel wavelet-based harmonic phasor estimation method is proposed to enhance accuracy, particularly during transient events, ensuring a nuanced understanding of phase angle variations. The research emphasizes the versatility of wavelet analysis for both steady-state and transient conditions, demonstrating its applicability in diverse operational scenarios. The proposed method's implementation and assessment in a laboratory environment, utilizing real-world data sets with harmonics, inter-harmonics, DC offset, and transient scenarios, showcase its efficacy and potential to revolutionize power system monitoring methodologies. The research contributes significantly to advancing harmonic phasor estimation techniques and establishes wavelet analysis as a cornerstone in sophisticated power system monitoring.
Recommended Citation
Jahan, M A Aziz, "Wavelet-Based Real-Time Harmonic Phasor Estimation in Complex Signals with Inter-harmonics and Transient Events", Open Access Master's Thesis, Michigan Technological University, 2023.