Type of Document	Dissertation
Author	Qian, Lewei
Author's Email Address	qianlewei@msn.com
URN	etd-11042007-131152
Title	A New Adaptive Detection Algorithm for Power Quality Improvement
Degree	Doctor of Philosophy
Department	Mechanical Engineering, Department of
Advisory Committee	Advisor Name Title David Cartes Committee Co-Chair Hui Li Committee Co-Chair Emmanuel G. Collins Committee Member Justin Schwartz Committee Member Simon Y. Foo Committee Member
Keywords	Adptive Detection Power Quality Harmonics
Date of Defense	2007-09-21
Availability	unrestricted
Abstract In this dissertation, a new adaptive harmonic selective detection algorithm is proposed for power quality improvement applications. The adaptive gains of the proposed method can be chosen relatively large to obtain faster convergence. The stability of the proposed method is guaranteed. The adaptive harmonic selective algorithm is analyzed then compared to a popular d-q method. This proposed adaptive method is simple and effective in extracting fundamental and harmonic current information from harmonic load currents. The extracted fundamental or harmonic currents therefore can be used as the reference signals for power quality improvement applications such as harmonic selective cancellation or reactive power compensation. The proposed adaptive algorithm can estimate time varying power system frequency and it also can identify a dc offset in a load current. These are two conditions that the d-q transformation based detection algorithm is incapable of. This adaptive detection method is phase independent and therefore it can be easily applied to three phase systems. Simulation and experimental results verify the good performance of the proposed new adaptive detection method.
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