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Neville R. Watson

Researcher at University of Canterbury

Publications -  271
Citations -  7640

Neville R. Watson is an academic researcher from University of Canterbury. The author has contributed to research in topics: Harmonic & Electric power system. The author has an hindex of 38, co-authored 271 publications receiving 7042 citations. Previous affiliations of Neville R. Watson include University of Manchester.

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Identification of harmonic sources of power systems using state estimation

TL;DR: In this article, the authors demonstrate the ability of system-wide harmonic state estimation (HSE) to identify remote harmonic sources and estimate load admittance of a power system, from a few synchronised, partial and asymmetric measurements.
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An optimal measurement placement method for power system harmonic state estimation

TL;DR: In this article, a new technique for optimal measurement placement for power system harmonic state estimation (HSE) is proposed, which provides the optimal number of measurements and the best positions to place them, in order to identify the locations and magnitudes of harmonic sources.
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A review of iterative harmonic analysis for AC-DC power systems

TL;DR: In this paper, the authors provide a critical review of the state-of-the-art in iterative harmonic analysis of static power converters, including linear harmonic penetration into AC network equivalents to provide accurate information about the power system harmonic content.
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Continuous harmonic state estimation of power systems

TL;DR: In this paper, a system-wide continuous harmonic state estimator of three-phase asymmetric power systems is presented, with development of its reduced mathematical models and algorithm, as well as its application to a New Zealand test system.
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Harmonic Instability Analysis of a Single-Phase Grid-Connected Converter Using a Harmonic State-Space Modeling Method

TL;DR: In this paper, the harmonic state-space model of a single-phase grid-connected renewable energy source is used to identify the harmonic instability in a multiple power-sourced system and make the analysis difficult due to the complexity of the grid network.