2017
DOI: 10.1109/tpel.2016.2605131
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Adaptive Estimation of Three-Phase Grid Voltage Parameters Under Unbalanced Faults and Harmonic Disturbances

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Cited by 32 publications
(8 citation statements)
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“…Moreover, the boundedness and exponential decay of the signal estimation error can be established using Theorem A.3 given in [38]. It is to be noted here that this result is mathematically weaker than the global exponential stability results presented in [21], [22]. Using the estimatedμ, the frequency and the phase of the fundamental components can be calculated by:…”
Section: Multiple Adaptive Observermentioning
confidence: 99%
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“…Moreover, the boundedness and exponential decay of the signal estimation error can be established using Theorem A.3 given in [38]. It is to be noted here that this result is mathematically weaker than the global exponential stability results presented in [21], [22]. Using the estimatedμ, the frequency and the phase of the fundamental components can be calculated by:…”
Section: Multiple Adaptive Observermentioning
confidence: 99%
“…non-smooth jump of phase, frequency, DC offset and amplitude. In the traditional state space observer design [20]- [22], by considering y = x 1 , andẏ = x 2 , the dynamics of the grid voltage signal in the state-space form is given by:…”
Section: Estimation Of Phase and Frequencymentioning
confidence: 99%
“…As these disturbance observers are usually implemented in the synchronous reference frame, they can not be simply integrated into control schemes implemented in stationary reference frame. There are some observers designed for unbalanced network, such as those presented in [27]- [29]. However, they are usually used for estimating or predicting fundamental and harmonic components of grid voltages.…”
Section: Introductionmentioning
confidence: 99%
“…In the past decade, a large number of effective estimation methods for grid voltage parameters [3–23] including positive‐ and negative‐sequence voltage components and their frequency, amplitudes and phase angles have been proposed such as Kalman filtering [3, 4], discrete Fourier transform [5, 6], zero‐crossing detection [7], adaptive notch filter [8–11], least‐squares estimation [14] and phase‐locked loop (PLL) [15–23].…”
Section: Introductionmentioning
confidence: 99%