Relevant bibliographies by topics / Phasor Estimation Algorithms

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Academic literature on the topic 'Phasor Estimation Algorithms'

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Published: 6 September 2023

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Journal articles on the topic "Phasor Estimation Algorithms"

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Zhao, Dongfang, Fuping Wang, Shisong Li, Wei Zhao, Lei Chen, Songling Huang, Shen Wang, and Haitao Li. "An Optimization of Least-Square Harmonic Phasor Estimators in Presence of Multi-Interference and Harmonic Frequency Variance." Energies 16, no. 8 (April 12, 2023): 3397. http://dx.doi.org/10.3390/en16083397.

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The wide application of power electronic devices brings an increasing amount of undesired harmonic and interharmonic tones, and accurate harmonic phasor estimation under a complex signal input is an important task for smart grid applications. In this paper, an optimization of least-square dynamic harmonic phasor estimators, considering multi-interference and harmonic frequency variance, is proposed. A comprehensive error index (CEI) composed of the fundamental-leakage-led harmonic amplitude estimation error, harmonic mutual interference, out-of-band interference, and harmonic frequency deviation is employed. The largest CEI part of least-square algorithms using three different signal decomposition models is analyzed for the first time, and variables to reduce this error component are then introduced using singular value decomposition. With the CEI and defined variables, a minimum-error estimation of harmonic phasors under various interference and harmonic frequency change is discussed. Numerical tests are performed, and the test results show that after the proposed optimization is applied to least-square algorithms, the harmonic phasor estimation errors are considerably reduced, especially for low-order harmonics. We also show the possibility of choosing desired optimal phasor filter design by balancing the measurement accuracy and data latency. For example, when the window length is set to three nominal cycles, the proposed optimization can yield both good accuracy and fast measurement speed for estimating harmonic phasors under multi-interference and harmonic frequency variance.
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Chukkaluru, Sai Lakshmi, and Shaik Affijulla. "Review of Discrete Fourier Transform During Dynamic Phasor Estimation and the Design of Synchrophasor Units." ECTI Transactions on Electrical Engineering, Electronics, and Communications 21, no. 1 (February 28, 2023): 248548. http://dx.doi.org/10.37936/ecti-eec.2023211.248548.

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In a large and complex interconnected power system, the measurement of synchronized bus voltage and line current plays a vital role in the monitoring and precise control of various sophisticated electrical equipment for secure and reliable operation. Phasor measurement units (PMUs) are incorporated into a wide area of the power system to extract the different signals of synchronized phasors. In this paper, the capacity of the PMU phasor estimation algorithm is explored based on discrete Fourier transform (DFT) under different sampling frequency rates during various dynamic scenarios in accordance with the IEEE C37.118.1a-2014 standard. Furthermore, the performance of the DFT algorithm varies according to the phase angle and dynamic parameters such as frequency, frequency ramp rates, modulation frequency, harmonic levels, step change, decaying dc, and noise levels. The simulation results reveal that accuracy of the phasor estimation algorithm based on DFT can be achieved at high sampling frequency rates. Furthermore, the results of DFT-based phasor estimation are compared with Shank’s estimation method (SEM) and the least-squares estimation method (LEM). The presented method is best suited to PMU algorithms development based on DFT for better visualization of the smart electric grid.
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Giotopoulos, Vasilis, and Georgios Korres. "Implementation of Phasor Measurement Unit Based on Phase-Locked Loop Techniques: A Comprehensive Review." Energies 16, no. 14 (July 18, 2023): 5465. http://dx.doi.org/10.3390/en16145465.

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The dynamic monitoring, control, and protection of modern power systems in real time require time-stamped electrical measurements to accurately estimate the bus voltage phasors using the state estimation function under normal and abnormal conditions. These measurements can be acquired by time-synchronized devices, known as phasor measurement units (PMUs). PMUs can measure bus voltage and branch current phasors of a three-phase network, as well as the frequency and the rate of change of frequency (ROCOF), with high speed, accuracy and time stamping provided by global positioning system (GPS) at the coordinated universal time (UTC). Various phasor estimation algorithms have been proposed in the literature, while most of them are concentrated in the discrete Fourier transform (DFT) algorithm, where an integer number of samples multiple of the nominal frequency is required for the computations. In cases where the frequency of the power grid deviates from its nominal value, the raw application of the DFT approach can lead to large errors during phasor estimation. Another approach of the phasor estimation is based on the phase-locked loop (PLL) techniques, widely used in grid tie inverters. PLL techniques can track dynamically (continuous time) the estimated frequency to the time-variant frequency of the power grid. A brief introduction to the basic concepts of the synchrophasor definition is provided, while the main DFT methods for synchrophasor estimation according to recent literature are mentioned. PLL-based PMU techniques are reviewed for both steady-state and dynamic conditions according to IEEE standards. In conclusion, the performance of PLL-based PMU algorithms presented in this literature review is discussed.
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Tajdinian, Mohsen, Shahram Montaser Kouhsari, Kazem Mohseni, and Mehdi Zareian Jahromi. "A novel method for decaying DC component removal with regard to frequency fluctuations." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 35, no. 1 (January 4, 2016): 270–88. http://dx.doi.org/10.1108/compel-01-2015-0009.

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Purpose – Decaying DC component has important effect on extracting the fundamental component phasor. It directly affects the precision of protective relaying algorithms which act based on fundamental frequency component. It can be noted that decaying DC component, harmonic components and off-nominal frequency conditions are the major issues which strongly effect phasor estimation. The paper aims to discuss these issues. Design/methodology/approach – This paper proposes a novel hybrid approach for fundamental phasor estimation in order to remove the decaying DC component using Hilbert Transform and Discrete Fourier Transform. Findings – The proposed method (PM) converges to the original value in one cycle in presence of harmonic components and off-nominal frequency condition. In addition, proposed algorithm is able to detect the frequency fluctuation. Thus, it is applicable for static and dynamic conditions. An extensive set of simulation results across static and dynamic validations demonstrated that the proposed approach has faster convergence and better precision than the present methods. In addition, during harmonic distortion and also frequency fluctuation, the PM provides a correct and reliable response. Originality/value – The PM can calculate the DC component exactly from fault current signals and can be used in digital protection algorithms for phasor estimation.
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Binek, Malgorzata, Andrzej Kanicki, and Pawel Rozga. "Application of an Artificial Neural Network for Measurements of Synchrophasor Indicators in the Power System." Energies 14, no. 9 (April 30, 2021): 2570. http://dx.doi.org/10.3390/en14092570.

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Dynamic phenomena in electric power systems require fast and accurate algorithms for processing signals. The processing results include synchrophasor parameters, e.g., varying amplitude, phase or frequency of sinusoidal voltage or current signals. This paper presents a novel estimation method of synchrophasor parameters that comply with the requirements of IEEE/IEC standards. The authors analyzed an algorithm for measuring the phasor magnitude by means of a selected artificial neural network (ANN), an algorithm for estimating the phasor phase and frequency that makes use of the zero-crossing method. The original components of the presented approach are: the method of the synchrophasor magnitude estimation by means of a suitably trained and applied radial basic function (RBF); the idea of using two algorithms operating simultaneously to estimate the synchrophasor magnitude, phase and frequency that apply identical calculation methods are different in that the first one filters the input signal using the FIR filter and the second one operates without any filter; and the algorithm calculating corrections of the phase shift between the input and output signal and the algorithm calculating corrections of the magnitude estimation. The error results obtained from the applied algorithms were compared with those of the quadrature filter method and the ones presented in literature, as well as with the permissible values of the errors. In all cases, these results were lower than the permissible values and at least equal to the values found in the literature.
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Olarte Dussán, Fredy Andrés, Carlos Eduardo Borda Zapata, and Hernando Díaz Morales. "State Estimation-based Transmission line parameter identification." Ingeniería e Investigación 30, no. 1 (January 1, 2010): 56–63. http://dx.doi.org/10.15446/ing.investig.v30n1.15208.

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This article presents two state-estimation-based algorithms for identifying transmission line parameters. The identification technique used simultaneous state-parameter estimation on an artificial power system composed of several copies of the same transmission line, using measurements at different points in time. The first algorithm used active and reactive power measurements at both ends of the line. The second method used synchronised phasor voltage and current measurements at both ends. The algorithms were tested in simulated conditions on the 30-node IEEE test system. All line parameters for this system were estimated with errors below 1%.
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Frigo, Guglielmo, Paolo Attilio Pegoraro, and Sergio Toscani. "Low-Latency, Three-Phase PMU Algorithms: Review and Performance Comparison." Applied Sciences 11, no. 5 (March 4, 2021): 2261. http://dx.doi.org/10.3390/app11052261.

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Phasor Measurement Units are the most advanced instruments for power network monitoring, since they allow phasors, frequency and rate of change of frequency (ROCOF) to be measured in predetermined time instants with respect to an absolute time reference. The employed estimation algorithm plays a key role in overall performance under off-nominal conditions; the challenge to be faced is combining high steady-state accuracy with fast responsiveness in dynamic conditions, small reporting latency and reduced computational burden. Under regular operation, AC power networks are weakly unbalanced three-phase systems. Based on this consideration, the recent literature has proposed native three-phase estimation algorithms that effectively exploit this property to accurately identify the positive sequence synchrophasor, frequency and ROCOF. In this respect, the present paper describes three among the most promising three-phase algorithms based on the Space Vector transformation. By means of numerical simulations, it compares the achieved performance in terms of response time and estimation error both under steady-state and dynamic conditions. All the considered approaches enable a flexible design that allows balancing accuracy and responsiveness. For this analysis, the reporting latency has been limited to about one and half nominal cycles, i.e., 30 ms at 50 Hz; the P-class algorithm suggested by IEC/IEEE Std 60255-118-1 has also been included as comparison benchmark.
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Yang, Xuan, Xiao-Ping Zhang, and Suyang Zhou. "Coordinated algorithms for distributed state estimation with synchronized phasor measurements." Applied Energy 96 (August 2012): 253–60. http://dx.doi.org/10.1016/j.apenergy.2011.11.010.

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Silva, K. M., and F. A. O. Nascimento. "Modified DFT-Based Phasor Estimation Algorithms for Numerical Relaying Applications." IEEE Transactions on Power Delivery 33, no. 3 (June 2018): 1165–73. http://dx.doi.org/10.1109/tpwrd.2017.2738621.

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Macii, David, Daniel Belega, and Dario Petri. "IpDFT-Tuned Estimation Algorithms for PMUs: Overview and Performance Comparison." Applied Sciences 11, no. 5 (March 5, 2021): 2318. http://dx.doi.org/10.3390/app11052318.

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The Interpolated Discrete Fourier Transform (IpDFT) is one of the most popular algorithms for Phasor Measurement Units (PMUs), due to its quite low computational complexity and its good accuracy in various operating conditions. However, the basic IpDFT algorithm can be used also as a preliminary estimator of the amplitude, phase, frequency and rate of change of frequency of voltage or current AC waveforms at times synchronized to the Universal Coordinated Time (UTC). Indeed, another cascaded algorithm can be used to refine the waveform parameters estimation. In this context, the main novelty of this work is a fair and extensive performance comparison of three different state-of-the-art IpDFT-tuned estimation algorithms for PMUs. The three algorithms are: (i) the so-called corrected IpDFT (IpDFTc), which is conceived to compensate for the effect of both the image of the fundamental tone and second-order harmonic; (ii) a frequency-tuned version of the Taylor Weighted Least-Squares (TWLS) algorithm, and (iii) the frequency Down-Conversion and low-pass Filtering (DCF) technique described also in the IEEE/IEC Standard 60255-118-1:2018. The simulation results obtained in the P Class and M Class testing conditions specified in the same Standard show that the IpDFTc algorithm is generally preferable under the effect of steady-state disturbances. On the contrary, the tuned TWLS estimator is usually the best solution when dynamic changes of amplitude, phase or frequency occur. In transient conditions (i.e., under the effect of amplitude or phase steps), the IpDFTc and the tuned TWLS algorithms do not clearly outperform one another. The DCF approach generally returns the worst results. However, its actual performances heavily depend on the adopted low-pass filter.
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Dissertations / Theses on the topic "Phasor Estimation Algorithms"

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Guo, Hengdao. "Frequency Tracking and Phasor Estimation Using Least Squares and Total Least Squares Algorithms." UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/57.

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System stability plays an important role in electric power systems. With the development of electric power system, the scale of the electric grid is now becoming larger and larger, and many renewable energy resources are integrated in the grid. However, at the same time, the stability and safety issues of electric power system are becoming more complicated. Frequency and phasors are two critical parameters of the system stability. Obtaining these two parameters have been great challenges for decades. Researchers have provided various kinds of algorithms for frequency tracking and phasor estimation. Among them, Least Squares (LS) algorithm is one of the most commonly used algorithm. This thesis studies the LS algorithm and the Total Least Squares (TLS) algorithm working on frequency tracking and phasor estimation. In order to test the performance of the two algorithms, some simulations have been made in the Matlab. The Total Vector Error (TVE) is a commonly used performance criteria, and the TVE results of the two algorithms are compared. The TLS algorithm performs better than LS algorithm when the frequencies of all harmonic components are given.
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Kamireddy, Srinath. "Comparison of state estimation algorithms considering phasor measurement units and major and minor data loss." Master's thesis, Mississippi State : Mississippi State University, 2008. http://library.msstate.edu/etd/show.asp?etd=etd-11072008-121521.

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Vigliassi, Marcos Paulo. "Algoritmo evolutivo multiobjetivo em tabelas e matriz HΔ para projeto de sistemas de medição para estimação de estado." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-19052017-154501/.

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O problema de projeto de sistemas de medição, para efeito de Estimação de Estado em Sistemas Elétricos de Potência, é um problema de otimização multiobjetivo, combinatório, que exige a investigação de um grande número de possíveis soluções. Dessa forma, metaheurísticas vêm sendo empregadas para sua solução. Entretanto, a maioria delas trata o problema de forma mono-objetivo e as poucas que consideram uma formulação multiobjetivo, não contemplam todos os requisitos de desempenho que devem ser atendidos para obtenção de um Sistema de Medição Confiável (SMC) (observabilidade e ausência de Medidas Críticas, Conjuntos Críticos de Medidas, Unidades Terminais Remotas Críticas e Unidades de Medição Fasoriais Críticas). Propõe-se, nesta tese, uma formulação multiobjetivo para o problema de projeto de sistemas de medição de uma forma mais ampla, considerando todas requisitos de desempenho que devem ser atendidos para obtenção de um SMC. Propõe-se, ainda, o desenvolvimento e implantação, em computador, de um método para tratamento desse problema, considerando o trade-off entre os requisitos de desempenho e o custo, fazendo uso do conceito de Fronteira de Pareto. O método possibilita, em uma única execução, a obtenção de quatro tipos de sistemas de medição, a partir da análise de soluções não dominadas. O método permite o projeto de sistemas de medição novos e o aprimoramento de sistemas de medição já existentes, considerando a existência apenas de medidas convencionais SCADA, apenas de Medidas Fasoriais Sincronizadas ou a existência dos dois tipos de medidas. O método proposto faz uso de um Algoritmo Evolutivo Multiobjetivo e do procedimento de obtenção e análise da matriz HΔ. Esse procedimento permite a realização de uma Busca Local, minimizando o custo para atendimento de cada um dos requisitos de desempenho mencionados acima. Simulações são realizadas utilizando dados dos sistemas de 6, 14, 30, 118 e 300 barras do IEEE, bem como do sistema de 61 barras da Eletropaulo, de forma a ilustrar, testar e validar o método proposto. Alguns dos resultados dessas simulações são comparados com resultados obtidos por outros métodos encontrados na literatura.
Metering system planning for power system state estimation is a multi-objective, combinatorial optimization problem that may require the investigation of many possible solutions. As a consequence, meta-heuristics have been employed to solve the problem. However in the majority of them the multi-objective problem is converted in a mono-objective problem and those few considering a multi-objective formulation do not consider all the performance requirements that must be attended in order to obtain a Reliable Metering System (RMS) (system observability and absence of Critical Measurements, Critical Sets, Critical Remote Terminal Units and Critical Phasor Measurement Units). This thesis proposes a multi-objective formulation for the metering system planning problem in a wide way, that is, considering all the performance requirements that must be attended to obtain a RMS. This thesis also proposes the development and implementation, in computer, of a method to solve the metering system planning problem, considering the trade-off between the two conflicting objectives of the problem (minimizing cost while maximizing the performance requirements) making use of the concept of Pareto Frontier. The method allows, in only one execution, the project of four types of metering systems, from the analysis of non-dominated solutions. The method enable the design of new metering systems as well as the improvement of existing ones, considering the existence of only conventional SCADA measurements, or only synchronized phasor measurements or the existence of both types of measurements. The proposed method combines a multi-objective evolutionary algorithm based on subpopulation tables with the properties of the so-called HΔ matrix. The subpopulations tables adequately model several metering system performance requirements enabling a better exploration of the solution space. On the other hand, the properties of the HΔ matrix enable a local search that improves the evolutionary process and minimizes the computational effort. Simulations results with IEEE 6, 14, 30, 118 and 300-bus test systems and with a 61-bus system of Eletropaulo illustrate the efficiency of the proposed method. Some of the results of these simulations will be compared with those published in literature.
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Zhang, Xuan. "High Precision Dynamic Power System Frequency Estimation Algorithm Based on Phasor Approach." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/31001.

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An internet-based, real-time, Global Positioning System (GPS) ---synchronized relative to the wide-area frequency-monitoring network (FNET) ---has been developed at Virginia Tech. In this FNET system, an algorithm that employs the relationship between phasor angles and deviated frequency [13] is used to calculate both frequency and its rate of change. Tests of the algorithm disclose that, for non-pure sinusoidal input (as compared to pure sinusoidal input), significant errors in the output frequency will result. Three approaches for increasing the accuracy of the output frequency were compared. The first---increasing the number of samples per cycle N---proved ineffective. The second---using the average of the first estimated frequencies rather than the instant first estimated frequency as the resampling frequency---produces a moderate increase in accuracy of the frequency estimation. The third---multiple resampling---significantly increased accuracy. But both the second and the third become ineffective to the extent the input is not pure sinusoidal. From a practical standpoint, attention needs to be paid toward eliminating noise in the input data from the power grid so as to make it more purely sinusoidal. Therefore, it will be worthwhile to test more sophisticated digital filters for processing the input data before feeding it to the algorithm.
Master of Science
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Hussain, Zahir M. "Adaptive instantaneous frequency estimation: Techniques and algorithms." Thesis, Queensland University of Technology, 2002. https://eprints.qut.edu.au/36137/7/36137_Digitised%20Thesis.pdf.

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This thesis deals with the problem of the instantaneous frequency (IF) estimation of sinusoidal signals. This topic plays significant role in signal processing and communications. Depending on the type of the signal, two major approaches are considered. For IF estimation of single-tone or digitally-modulated sinusoidal signals (like frequency shift keying signals) the approach of digital phase-locked loops (DPLLs) is considered, and this is Part-I of this thesis. For FM signals the approach of time-frequency analysis is considered, and this is Part-II of the thesis. In part-I we have utilized sinusoidal DPLLs with non-uniform sampling scheme as this type is widely used in communication systems. The digital tanlock loop (DTL) has introduced significant advantages over other existing DPLLs. In the last 10 years many efforts have been made to improve DTL performance. However, this loop and all of its modifications utilizes Hilbert transformer (HT) to produce a signal-independent 90-degree phase-shifted version of the input signal. Hilbert transformer can be realized approximately using a finite impulse response (FIR) digital filter. This realization introduces further complexity in the loop in addition to approximations and frequency limitations on the input signal. We have tried to avoid practical difficulties associated with the conventional tanlock scheme while keeping its advantages. A time-delay is utilized in the tanlock scheme of DTL to produce a signal-dependent phase shift. This gave rise to the time-delay digital tanlock loop (TDTL). Fixed point theorems are used to analyze the behavior of the new loop. As such TDTL combines the two major approaches in DPLLs: the non-linear approach of sinusoidal DPLL based on fixed point analysis, and the linear tanlock approach based on the arctan phase detection. TDTL preserves the main advantages of the DTL despite its reduced structure. An application of TDTL in FSK demodulation is also considered. This idea of replacing HT by a time-delay may be of interest in other signal processing systems. Hence we have analyzed and compared the behaviors of the HT and the time-delay in the presence of additive Gaussian noise. Based on the above analysis, the behavior of the first and second-order TDTLs has been analyzed in additive Gaussian noise. Since DPLLs need time for locking, they are normally not efficient in tracking the continuously changing frequencies of non-stationary signals, i.e. signals with time-varying spectra. Nonstationary signals are of importance in synthetic and real life applications. An example is the frequency-modulated (FM) signals widely used in communication systems. Part-II of this thesis is dedicated for the IF estimation of non-stationary signals. For such signals the classical spectral techniques break down, due to the time-varying nature of their spectra, and more advanced techniques should be utilized. For the purpose of instantaneous frequency estimation of non-stationary signals there are two major approaches: parametric and non-parametric. We chose the non-parametric approach which is based on time-frequency analysis. This approach is computationally less expensive and more effective in dealing with multicomponent signals, which are the main aim of this part of the thesis. A time-frequency distribution (TFD) of a signal is a two-dimensional transformation of the signal to the time-frequency domain. Multicomponent signals can be identified by multiple energy peaks in the time-frequency domain. Many real life and synthetic signals are of multicomponent nature and there is little in the literature concerning IF estimation of such signals. This is why we have concentrated on multicomponent signals in Part-H. An adaptive algorithm for IF estimation using the quadratic time-frequency distributions has been analyzed. A class of time-frequency distributions that are more suitable for this purpose has been proposed. The kernels of this class are time-only or one-dimensional, rather than the time-lag (two-dimensional) kernels. Hence this class has been named as the T -class. If the parameters of these TFDs are properly chosen, they are more efficient than the existing fixed-kernel TFDs in terms of resolution (energy concentration around the IF) and artifacts reduction. The T-distributions has been used in the IF adaptive algorithm and proved to be efficient in tracking rapidly changing frequencies. They also enables direct amplitude estimation for the components of a multicomponent
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Deng, Zhi-De. "Stochastic chaos and thermodynamic phase transitions : theory and Bayesian estimation algorithms." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41649.

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Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 177-200).
The chaotic behavior of dynamical systems underlies the foundations of statistical mechanics through ergodic theory. This putative connection is made more concrete in Part I of this thesis, where we show how to quantify certain chaotic properties of a system that are of relevance to statistical mechanics and kinetic theory. We consider the motion of a particle trapped in a double-well potential coupled to a noisy environment. By use of the classic Langevin and Fokker-Planck equations, we investigate Kramers' escape rate problem. We show that there is a deep analogy between kinetic rate theory and stochastic chaos, for which we propose a novel definition. In Part II, we develop techniques based on Volterra series modeling and Bayesian non-linear filtering to distinguish between dynamic noise and measurement noise. We quantify how much of the system's ergodic behavior can be attributed to intrinsic deterministic dynamical properties vis-a-vis inevitable extrinsic noise perturbations.
by Zhi-De Deng.
M.Eng.and S.B.
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Forbush, Taylor R. "Automated Delay Estimation at Signalized Intersections: Phase I Concept and Algorithm Development." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2471.

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Currently there are several methods to measure the performance of surface streets, but their capabilities in dynamically estimating vehicle delay are limited. The objective of this research is to develop a method to automate traffic delay estimation in real-time using existing field traffic data collection technologies. This research has focused on method and algorithm development that can be applied to existing technologies. Two algorithms were developed to run automatically using Microsoft Excel and Visual Basic to calculate traffic delay from data collected from existing vehicle detection. The algorithms were developed using computer modeling software to simulate different lane configurations. The lane configurations tested were through-only lanes, through lanes with a midblock driveway, and through lanes with a turning bay. Different levels of volumes were simulated for each of the lane configurations. Results were promising for each lane configuration. The through-only configuration showed excellent results with maximum errors less than 3 seconds per vehicle for each test. The through lanes with the driveways test was evaluated using added detection at the driveway locations and no detection at the driveways. Results using the driveway sensors had 93 percent of the calculated average delays with less than 5 seconds per vehicle of error. Results without the driveway sensors had 84 percent of the calculated average delays with less than 5 seconds of error. Results for the turning bay configuration had 94 percent of the calculated turning bay results with less than 5 seconds per vehicle of error. It is recommended to conduct a hardware-in-loop analysis to make certain the algorithms developed in this study perform as expected in a dynamic operation.
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Robie, Taylor A. "Improved Electrolyte-NRTL Parameter Estimation Using a Combined Chemical and Phase Equilibrium Algorithm." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1368027260.

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Marsolla, Rafael. "Estimação fasorial em tempo real utilizando um algoritmo genético compacto multiobjetivo." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-02062015-151039/.

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A medição fasorial sincronizada é utilizada hoje como forma de aprimorar a operação de um Sistema Elétrico de Potência (SEP), empregando unidades de medição fasorial estrategicamente localizadas e instaladas. Estas realizam a aquisição do sinal elétrico e posteriormente a estimação dos fasores de tensão e corrente sincronizados no tempo, os quais indicam o comportamento do SEP em uma localidade específica. Este trabalho multidisciplinar propõe a análise e implementação de um método computacional evolutivo, o Algoritmo Genético Compacto Multiobjetivo (AGCM) aplicado ao problema de medição fasorial, amplamente utilizado por exemplo, no monitoramento de um SEP, comportando-se assim como uma unidade medidora de fasor, ou Phasor Measurement Unit (PMU). O AGCM aqui apresentado tem como principal característica a análise multiobjetiva do problema. Pelo fato de todo SEP ser trifásico, é proposto esta nova abordagem, onde é considerando para a estimação fasorial as três fases de forma conjunta, e não mais estimadas independentemente. Assim o AGCM proposto considera em seu mapeamento genético dos indivíduos, as características do sinais das três fases, diferentemente da abordagem mono-objetivo, onde cada fase do SEP é modelada sobre um indivíduo diferente. Posteriormente para garantir a eficácia do método evolutivo quando em operação em um cenário de tempo real, é proposto uma plataforma de aquisição de dados e processamento, inspirada em trabalhos anteriormente desenvolvidos, permitindo a integração de todos os módulos que formarão um PMU para análise fasorial em tempo real. Aqui um sistema de Global Positioning System (GPS) existente é proposto como forma de sincronismo entre os PMUs, sincronizando uma gama de equipamentos em um única referência de tempo, com a precisão necessária. Para auxiliar na integração dos módulos necessários, uma biblioteca de funções desenvolvida no LSEE será expandida permitindo a execução do método evolutivo diretamente em uma interface Field Programmable Gate Array (FPGA) a qual atuará como um coprocessador genético da plataforma de tempo real. Os resultados aqui apresentados foram obtidos seguindo especificações normativas, através de sinais gerados sinteticamente, e também utilizando o Alternative Transient Program (ATP), permitindo assim ensaios mais realísticos para a validação dos métodos evolutivos.
The synchronized phasor measurement is used today as a way to enhance the operation of an Electric Power System (EPS), using phasor measurement units strategically located and installed. They perform the acquisition of the electrical signal and then, the estimation of the voltage and current phasors, synchronized in time, which indicates the SEPs behavior in a specific location. This multidisciplinary work proposes the analysis and implementation of an evolutionary computing method, the Multibjective Compact Genetic Algorithm (MCGA) applied to the phasor estimation method used in EPS, known as an Phasor Measurement Units (PMUs). The MCGA presented here has as a main characteristic the multiobjective analysis of the problem. Because all EPSs have three phases, this new approach is proposed , which is considering the phasor estimation for the three phases together, instead of doing it for each phase independently.Thus the proposed MCGA includes in its genetic mapping of individuals, the characteristics of the signals of the three phases, unlike the monoobjective where each phase of the Electric Power System (EPS) is modeled using a different individual. In order to ensure the effectiveness of the evolutionary method when operating in a real time scenario, a platform for data acquisition and processing is proposed, inspired by previous work, allowing the integration of all the modules that composes a PMU for real-time phasor analysis. A Global Positioning System (GPS) is proposed as a way to synchronize different PMUs, integrating pieces of equipment in a single time reference, with the precision required. In order to assist in the integration of the required modules, a library of functions developed in the Laboratory of Electric Power Systems will be expanded allowing the execution of the evolutionary method directly on a Field Programmable Gate Array (FPGA) interface, which will act as a genetic co-processor of a real-time platform. The results presented here were obtained following normative specifications, through signals generated synthetically, and also using the Alternative Transient Program (ATP), allowing more realistic tests to validate the evolutionary methods.
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Ahmadi, Abhari Seyed Hamed. "Quantum Algorithms for: Quantum Phase Estimation, Approximation of the Tutte Polynomial and Black-box Structures." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5096.

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In this dissertation, we investigate three different problems in the field of Quantum computation. First, we discuss the quantum complexity of evaluating the Tutte polynomial of a planar graph. Furthermore, we devise a new quantum algorithm for approximating the phase of a unitary matrix. Finally, we provide quantum tools that can be utilized to extract the structure of black-box modules and algebras. While quantum phase estimation (QPE) is at the core of many quantum algorithms known to date, its physical implementation (algorithms based on quantum Fourier transform (QFT)) is highly constrained by the requirement of high-precision controlled phase shift operators, which remain difficult to realize. In the second part of this dissertation, we introduce an alternative approach to approximately implement QPE with arbitrary constant-precision controlled phase shift operators. The new quantum algorithm bridges the gap between QPE algorithms based on QFT and Kitaev's original approach. For approximating the eigenphase precise to the nth bit, Kitaev's original approach does not require any controlled phase shift operator. In contrast, QPE algorithms based on QFT or approximate QFT require controlled phase shift operators with precision of at least Pi/2n. The new approach fills the gap and requires only arbitrary constant-precision controlled phase shift operators. From a physical implementation viewpoint, the new algorithm outperforms Kitaev's approach. The other problem we investigate relates to approximating the Tutte polynomial. We show that the problem of approximately evaluating the Tutte polynomial of triangular graphs at the points (q,1/q) of the Tutte plane is BQP-complete for (most) roots of unity q. We also consider circular graphs and show that the problem of approximately evaluating the Tutte polynomial of these graphs at a point is DQC1-complete and at some points is in BQP. To show that these problems can be solved by a quantum computer, we rely on the relation of the Tutte polynomial of a planar G graph with the Jones and HOMFLY polynomial of the alternating link D(G) given by the medial graph of G. In the case of our graphs the corresponding links are equal to the plat and trace closures of braids. It is known how to evaluate the Jones and HOMFLY polynomial for closures of braids. To establish the hardness results, we use the property that the images of the generators of the braid group under the irreducible Jones-Wenzl representations of the Hecke algebra have finite order. We show that for each braid we can efficiently construct a braid such that the evaluation of the Jones and HOMFLY polynomials of their closures at a fixed root of unity leads to the same value and that the closures of the resulting braid are alternating links. The final part of the dissertation focuses on finding the structure of a black-box module or algebra. Suppose we are given black-box access to a finite module M or algebra over a finite ring R and a list of generators for M and R. We show how to find a linear basis and structure constants for M in quantum poly (log|M|) time. This generalizes a recent quantum algorithm of Arvind et al. which finds a basis representation for rings. We then show that our algorithm is a useful primitive allowing quantum computer to determine the structure of a finite associative algebra as a direct sum of simple algebras. Moreover, it solves a wide variety of problems regarding finite modules and rings. Although our quantum algorithm is based on Abelian Fourier transforms, it solves problems regarding the multiplicative structure of modules and algebras, which need not be commutative. Examples include finding the intersection and quotient of two modules, finding the additive and multiplicative identities in a module, computing the order of an module, solving linear equations over modules, deciding whether an ideal is maximal, finding annihilators, and testing the injectivity and surjectivity of ring homomorphisms. These problems appear to be exponentially hard classically.
ID: 031001318; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Title from PDF title page (viewed March 27, 2013).; Thesis (Ph.D.)--University of Central Florida, 2012.; Includes bibliographical references (p. 82-86).
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Books on the topic "Phasor Estimation Algorithms"

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R, Kumar. A novel multistage estimation of the signal parameters of a possibly data-modulated sinusoid under very high dynamics. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1989.

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Allen, Michael P., and Dominic J. Tildesley. Monte Carlo methods. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0004.

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The estimation of integrals by Monte Carlo sampling is introduced through a simple example. The chapter then explains importance sampling, and the use of the Metropolis and Barker forms of the transition matrix defined in terms of the underlying matrix of the Markov chain. The creation of an appropriately weighted set of states in the canonical ensemble is described in detail and the method is extended to the isothermal–isobaric, grand canonical and semi-grand ensembles. The Monte Carlo simulation of molecular fluids and fluids containing flexible molecules using a reptation algorithm is discussed. The parallel tempering or replica exchange method for more efficient exploration of the phase space is introduced, and recent advances including solute tempering and convective replica exchange algorithms are described.
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Book chapters on the topic "Phasor Estimation Algorithms"

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Thiab, Omar Sami, Łukasz Nogal, and Ryszard Kowalik. "Dynamic Power Systems Phasor Estimation Using Kalman Filter Algorithms." In Communications in Computer and Information Science, 110–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38752-5_9.

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Gu, Shuangshuang, Hang Long, and Qian Li. "Phase Noise Estimation and Compensation Algorithms for 5G Systems." In Communications and Networking, 551–61. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06161-6_54.

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Chareton, Christophe, Sébastien Bardin, François Bobot, Valentin Perrelle, and Benoît Valiron. "An Automated Deductive Verification Framework for Circuit-building Quantum Programs." In Programming Languages and Systems, 148–77. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72019-3_6.

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AbstractWhile recent progress in quantum hardware open the door for significant speedup in certain key areas, quantum algorithms are still hard to implement right, and the validation of such quantum programs is a challenge. In this paper we propose Qbricks, a formal verification environment for circuit-building quantum programs, featuring both parametric specifications and a high degree of proof automation. We propose a logical framework based on first-order logic, and develop the main tool we rely upon for achieving the automation of proofs of quantum specification: PPS, a parametric extension of the recently developed path sum semantics. To back-up our claims, we implement and verify parametric versions of several famous and non-trivial quantum algorithms, including the quantum parts of Shor’s integer factoring, quantum phase estimation (QPE) and Grover’s search.
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Cheng, Hsien-Wen, and Lan-Rong Dung. "EFBLA: A Two-Phase Matching Algorithm for Fast Motion Estimation." In Advances in Multimedia Information Processing — PCM 2002, 112–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36228-2_15.

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Prokopenya, Alexander N. "Approximate Quantum Fourier Transform and Quantum Algorithm for Phase Estimation." In Computer Algebra in Scientific Computing, 391–405. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24021-3_29.

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Punnapala, Sameer, Francisco M. Vargas, and Ali Elkamel. "Parameter Estimation in Phase Equilibria Calculations Using Multi-Objective Evolutionary Algorithms." In Multi-Objective Optimization in Chemical Engineering, 247–65. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118341704.ch9.

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Nagashima, Sei, Koichi Ito, Takafumi Aoki, Hideaki Ishii, and Koji Kobayashi. "A High-Accuracy Rotation Estimation Algorithm Based on 1D Phase-Only Correlation." In Lecture Notes in Computer Science, 210–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74260-9_19.

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Yang, Xiaolong, Yuan She, Jiacheng Wang, Mu Zhou, and Zengshan Tian. "A Novel AoA Estimation Algorithm Based on Phase Compensation of Linear Array." In Wireless and Satellite Systems, 179–86. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19153-5_17.

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Tan, Chee Sheng, Rosmiwati Mohd-Mokhtar, and Mohd Rizal Arshad. "Improved Generalized Cross Correlation Phase Transform Algorithm for Time Difference of Arrival Estimation." In Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018, 315–22. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3708-6_26.

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Grani, Fabrizio, Cristina Soto-Sanchez, Alfonso Rodil Doblado, Maria Dolores Grima, Fernando Farfan, Mikel Val Calvo, Leili Soo, et al. "Performance Evaluation of a Real-Time Phase Estimation Algorithm Applied to Intracortical Signals from Human Visual Cortex." In Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 516–25. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06242-1_51.

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Conference papers on the topic "Phasor Estimation Algorithms"

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Kovacic, Marko, Marko Jurcevic, Roman Malaric, and Antonijo Kunac. "A Review of Phasor Estimation Algorithms." In 2020 3rd International Colloquium on Intelligent Grid Metrology (SMAGRIMET). IEEE, 2020. http://dx.doi.org/10.23919/smagrimet48809.2020.9264012.

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Godse, Revati, and Sunil Bhat. "Comparative Evaluation of DFT-based Phasor Estimation Algorithms." In 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE). IEEE, 2018. http://dx.doi.org/10.1109/icrieece44171.2018.9008933.

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Qian, Cheng, and Mladen Kezunovic. "Hybridization Framework for Improved Dynamic Phasor Parameter Estimation Algorithms." In 2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). IEEE, 2019. http://dx.doi.org/10.1109/isgt.2019.8791633.

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Silva, Kleber M., and Francisco A. O. Nascimento. "Phasor Estimation Algorithms Based on the Discrete Hartley Transform." In 2020 Workshop on Communication Networks and Power Systems (WCNPS). IEEE, 2020. http://dx.doi.org/10.1109/wcnps50723.2020.9263728.

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Dragomir, Marian, Anamaria Iamandi, Marcel Istrate, and Alin Dragomir. "A review of phasor estimation algorithms for power system applications." In 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). IEEE, 2019. http://dx.doi.org/10.1109/isgteurope.2019.8905591.

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Abood, Hatim G., Hassan Al-Saadi, and Ghassan Abdullah Salman. "Assessing Algorithms of Phasor Measurements Optimal Placement for State Estimation." In 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technologies (CSUDET). IEEE, 2019. http://dx.doi.org/10.1109/csudet47057.2019.9214675.

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Silva, Kleber, and Francisco Nascimento. "Modified DFT-Based Phasor Estimation Algorithms for Numerical Relaying Applications." In 2018 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2018. http://dx.doi.org/10.1109/pesgm.2018.8586331.

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Godse, Revati, and Sunil Bhat. "Comprehensive Study and Analysis of Frequency and Phasor Estimation Algorithms." In 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE). IEEE, 2020. http://dx.doi.org/10.1109/pesgre45664.2020.9070572.

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Barchi, Grazia, David Macii, and Dario Petri. "Phasor measurement units for smart grids: Estimation algorithms and performance issues." In 2013 Convegno Nazionale AEIT: Innovation and Scientific and Technical Culture for Development (AEIT). IEEE, 2013. http://dx.doi.org/10.1109/aeit.2013.6666790.

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Martinez, M. R., and D. G. Colome. "Performance of phasor estimation algorithms in instability cases of electric power systems." In 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America). IEEE, 2017. http://dx.doi.org/10.1109/isgt-la.2017.8126741.

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Reports on the topic "Phasor Estimation Algorithms"

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Eichel, P. H. The phase gradient autofocus algorithm: An optimal estimator of the phase derivative. Office of Scientific and Technical Information (OSTI), September 1989. http://dx.doi.org/10.2172/5609345.

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