2020
DOI: 10.1109/access.2020.2988711
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Coordinate Transformation-Free Observer-Based Adaptive Estimation of Distorted Single-Phase Grid Voltage Signal

Abstract: This paper studies the phase and frequency estimation problem of single-phase grid voltage signal in the presence of DC offset and harmonics. For this purpose, a novel parameterized linear model of the grid voltage signal is considered where the unknown frequency of the grid is considered as the parameter. Based on the developed model, a linear observer (Luenberger type) is proposed. Then using Lyapunov stability theory, an estimator of the unknown grid frequency is developed. In order to deal with the grid ha… Show more

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Cited by 4 publications
(3 citation statements)
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“…The authors, on the basis of previous research, proposed a multi-harmonic source identification algorithm for a distribution network. The algorithm uses the observer method to estimate the state of the system, which can adapt to the dynamic characteristics of the distribution system load, and locate multiple harmonic sources [24]. An observer construction method without matrix transformation is proposed, which significantly reduces the computational complexity.…”
Section: Introductionmentioning
confidence: 99%
“…The authors, on the basis of previous research, proposed a multi-harmonic source identification algorithm for a distribution network. The algorithm uses the observer method to estimate the state of the system, which can adapt to the dynamic characteristics of the distribution system load, and locate multiple harmonic sources [24]. An observer construction method without matrix transformation is proposed, which significantly reduces the computational complexity.…”
Section: Introductionmentioning
confidence: 99%
“…Additional advanced mechanisms, including optimization [11], [12] and adaptation [13] have been adopted for the feedback gains and feed-forward terms used for the state-feedback controller. The recent online parameter estimation techniques as in [14]- [17] can alleviate the parameter dependence level of these results.…”
Section: Introductionmentioning
confidence: 99%
“…The PI controller was preferred for implementing these multi-loop systems owing to its structural simplicity; this requires the additional gain scheduler (as in [9]) to enlarge the feasible operating region due to the load uncertainties. The feedback linearization controller made it possible to avoid the use of an additional gain scheduler by incorporating the parameter dependent feed-forward compensator and PI gain structure (leading to the pole-zero cancellation) [8], whose closed-loop precision level would be increased by adopting the additional online motor parameter identifiers as in [10]- [13].…”
Section: Introductionmentioning
confidence: 99%