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One of the major issues in smart grid monitoring, protection and power quality event identification is accurate phasor estimation. Proper phasor estimation is more important especially during fault, because the signals doesn’t have pure sine wave anymore and include different harmonic components and Decaying DC offset, so Proper phasor estimation in smart grids are very important issue. This paper...
This paper presents an active noise isolation (ANI) based control algorithm for single-phase single-stage solar photovoltaic (SPV) system connected to the AC grid. An ANI based algorithm used to control a voltage source inverter (VSI) which performs load compensation, harmonics mitigation, feeding solar power into the AC grid and many other power qualities issues. The proposed system comprises SPV...
Phase-locked loop based on an anticonjugate decomposition and a cascaded delayed signal cancellation (ACDSC-PLL) strategy is a recognized technique for estimating the single-phase grid voltage fundamental parameters such as amplitude, frequency and phase angle. However, it struggles with high order harmonics and increases complexity in real time implementation when the number of delayed signal cancellation...
This paper presents a look-up table (LUT) based principle for linearizing analog-to-digital converters (ADC) that have a non-linear behavior with memory effects. The approach relies on the estimation of an integral non-linearity (INL) sequence for the in-phase and quadrature components of the ADC output distorted signal for calibrating the entries of a couple of LUTs. An algorithm for this principle...
The paper describes Reduced Fast Fourier Transformation (RFFT), an algorithm of harmonic estimation based on the FFT, created by authors, convenient for voltage dips detection. The algorithm is simple, fast, computationally inexpensive and sufficiently accurate. It is tested in Matlab / SimPowerSystems environment. Results show that the algorithm is faster and better than the FFT, which is advantage...
This paper presents a simple demodulation technique based control algorithm for a three phase single stage grid connected solar Photovoltaic (PV) system to improve power quality of the distribution network while injecting power to AC grid. The demodulation technique is tuned at fixed frequency and has no stability issues due to open loop structure. The most important advantage of this technique is...
This paper discuss control of DVR using SPLL (Software Phased Locked Loop) strategy for compensation of PQ disturbances in power DS (Distribution System) network. Using this control strategy, fundamental reference load voltages are estimated using magnitude of fundamental active and reactive components of source voltages. The SPLL strategy based DVR is modeled in MATLAB R2013b environment using SIMULINK...
This paper proposes the control of 'the three phase grid connected solar PV (Photovoltaic) system based on the FS-NLMF (Fast Sparse-Normalized Least Mean Fourth). The system uses a photovoltaic (PV) array, VSI (Voltage Source Inverter), and nonlinear loads. In this system VSI is connected with PV array to avail the three-phase active power to the three phase grid. In three phase distribution feeder...
This paper considers the problem of DOA estimation of correlated sources using sparse arrays, where the number of sources can exceed the number of sensors. Depending on the magnitude of the cross correlation terms, our algorithm either treats them as additive noise (small correlation) or estimates them jointly with the DOAs (large correlation). In the latter case, the problem is cast as an equivalent...
In this work, we propose a time-recursive multi-pitch estimation algorithm, using a sparse reconstruction framework, assuming only a few pitches from a large set of candidates to be active at each time instant. The proposed algorithm utilizes a sparse recursive least squares formulation augmented by an adaptive penalty term specifically designed to enforce a pitch structure on the solution. When evaluated...
In this paper, we propose a dense approach for 3D rotation estimation between spherical images, which is simultaneously able to recover the large rotations, robust under clutter and small translations. The key idea is to represent the spherical images by 3D shapes of the triangular mesh surfaces based on image intensity signal. This allows to apply the spherical harmonics representation as 3D shape...
Autoregressive model order and parameter estimation technique is proposed and applied for modeling of Lithuanian semivowels. According to experimental results adequate modeling of semivowels requires for model order 72 in average. The appropriate order value differs for female and male voices. Besides, there are remarkable differencies between word starting and middle phones - the last ones are influenced...
This paper presents a novel rotation estimation approach based on 3D mesh representation of spherical images. Indeed, unit sphere is becoming a natural space for projecting images captured from the central cameras (conventional and non-conventional cameras, as omnidirectional camera) and obtaining the spherical images. The proposed method relies on representing the spherical images into a 3D space...
In switched-flux permanent magnet (SFPM) machines, the 6th-harmonic back electromotive force (EMF) is dominant, whilst the 3rd-harmonic back-EMF is much smaller. This paper proposes several new position estimation methods for sensorless control based on the 6th-harmonic back-EMF. Firstly, by detecting the zero-crossings of the 6th-harmonic back-EMF with/without eliminating the influence of the 3rd-harmonic...
The main objective of this paper is to review the technologies and models used in the Automatic music transcription system. Music Information Retrieval is a key problem in the field of music signal analysis and this can be achieved with the use of music transcription systems. It has proven to be a very difficult issue because of the complex and deliberately overlapped spectral structure of musical...
This paper presents a steady-state analysis of first-order complex adaptive notch filters in unbalanced three-phase power systems. By using first-order difference equation with respect to steady-state estimation error, analytical expressions of estimation bias and amplitude of oscillation error in an unbalanced condition have been derived. Closed-form expressions for bias and amplitude of oscillating...
Fundamental frequency (F0) estimation plays an important role in speech processing such as speech coding, synthesis, recognition and so on. Although a present F0 estimation method performs well under clean condition, the performance deteriorates significantly in noisy environment. For this reason robust F0 estimation against additive noise is demanded. We have previously proposed F0 estimation methods...
Direction of arrival (DOA) estimation is of great importance to signal processing, and, as a consequence, various arrays have recently been studied to get good DOA estimation performance. Particularly, spherical arrays have the advantage of three-dimensional orientation which benefits three-dimensional processing and analysis. Also, spherical symmetric structure of spherical arrays could promote the...
The article presents the results of signal analysis of the recorded singing voice samples. For that study the recorded samples of the “a-e-i-o-u” exercise is analysed. Some significant parameters describing voice have been estimated. Among the estimated parameters are: pitch, calculated with the use of autocorrelation method, values of the first five harmonics, set of parameters containing first five...
Analysis of harmonic and interharmonic phasors is a promising smart grid measurement and diagnostic tool. This creates the need to deal with multiple phasor components having different amplitudes, including interharmonics with unknown frequency locations. The Compressive Sensing Taylor-Fourier Multifrequency (CSTFM) algorithm provides very accurate results under demanding test conditions, but is computationally...
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