Relevant bibliographies by topics / Dynamic phasor model

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Dynamic phasor model'

Author: Grafiati
Published: 4 June 2025
Last updated: 14 July 2025

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Journal articles on the topic "Dynamic phasor model"

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Guo, Yufu, Hang Xu, and Aobing Chi. "Broadband Dynamic Phasor Measurement Method for Harmonic Detection." Electronics 11, no. 11 (2022): 1667. http://dx.doi.org/10.3390/electronics11111667.

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A large number of nonlinear loads and distributed energy sources are connected to the power system, leading to the generation of broadband dynamic signals including inter-harmonics and decaying DC (DDC) components. This causes deterioration of power quality and errors during power measurement. Therefore, effective phasor estimation methods are needed for accurate monitoring and effective analysis of harmonics and interharmonic phasors. For this purpose, an algorithm is proposed in this paper that is implemented in two parts. The first part is based on the least square method in order to obtain accurate DDC component. In the second part, a Taylor–Fourier model of broadband dynamic harmonic phasor is established. The regularization optimization problem of the sparse acquisition model is solved by harmonic vector estimation method. Finally, the piecewise Split-Bregman Iterative (SBI) framework is used to obtain the estimated value of the harmonic phasor measurement and to realize the reconstruction of the original signal. Through simulation and performance test, the proposed algorithm significantly improves the accuracy of the phasor measurement and estimation, and can provide a reliable theoretical basis for the PMU measurement.
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Chi, Aobing, Chengbi Zeng, Yufu Guo, and Hong Miao. "A Bregman-Split-Based Compressive Sensing Method for Dynamic Harmonic Estimation." Entropy 24, no. 7 (2022): 988. http://dx.doi.org/10.3390/e24070988.

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In order to overcome the spectral interference of the conventional Fourier transform in the International Electrotechnical Commission framework, this paper introduces a Bregman-split-based compressive sensing (BSCS) method to estimate the Taylor–Fourier coefficients in a multi-frequency dynamic phasor model. Considering the DDC component estimation, this paper transforms the phasor problem into a compressive sensing model based on the regularity and sparsity of the dynamic harmonic signal distribution. It then derives an optimized hybrid regularization algorithm with the Bregman split method to reconstruct the dynamic phasor estimation. The accuracy of the model was verified by using the cross entropy to measure the distribution differences of values. Composite tests derived from the dynamic phasor test conditions were then used to verify the potentialities of the BSCS method. Simulation results show that the algorithm can alleviate the impact of dynamic signals on phasor estimation and significantly improve the estimation accuracy, which provides a theoretical basis for P-class phasor measurement units (PMUs).
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Nuthalapati, Sarma, Jian Chen, Prakash Shrestha, et al. "Use of Synchronized Phasor Measurements for Model Validation in ERCOT." International Journal of Emerging Electric Power Systems 14, no. 1 (2013): 87–94. http://dx.doi.org/10.1515/ijeeps-2013-0029.

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Abstract This paper discusses experiences in the use of synchronized phasor measurement technology in Electric Reliability Council of Texas (ERCOT) interconnection, USA. Implementation of synchronized phasor measurement technology in the region is a collaborative effort involving ERCOT, ONCOR, AEP, SHARYLAND, EPG, CCET, and UT-Arlington. As several phasor measurement units (PMU) have been installed in ERCOT grid in recent years, phasor data with the resolution of 30 samples per second is being used to monitor power system status and record system events. Post-event analyses using recorded phasor data have successfully verified ERCOT dynamic stability simulation studies. Real time monitoring software “RTDMS”® enables ERCOT to analyze small signal stability conditions by monitoring the phase angles and oscillations. The recorded phasor data enables ERCOT to validate the existing dynamic models of conventional and/or wind generator.
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Ponnala, Ravi, Muktevi Chakravarthy, and Suraparaju Venkata Naga Lakshmi Lalitha. "Novel PMU Model for Dynamic State Disturbance Analysis with Effective Data Handling System." International Journal of Electrical and Electronics Research 10, no. 4 (2022): 1306–14. http://dx.doi.org/10.37391/ijeer.100485.

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In this paper a hybrid DFT phasor calculation method is presented. This method is used to calculate the fundamental component phasor value of the harmonic signal without any physical filter. With this method the computational time for each phasor value calculation is reduced and the calculated phasor value has the constant magnitude and rotating phase angle. This calculated phasor values are used for the disturbance or fault identification in the power system based on Total Vector Error (TVE). The %TVE-based fault identification is more effective, because the TVE value is calculated with reference phasor value. If any fault/disturbance occurs or frequency changes then %TVE value changes. This change in TVE value is reflected in the calculation of the next sample (1/f.*N sec), giving the advantage to this method as compared to the other magnitude-based fault identification systems. Normally with the phasor calculation large data is produced, which requires large memory for the storage of this data and makes the analysis difficult. To avoid large data storage system conditional-based data storage system is proposed, where the data is stored during only the disturbance conditions or at every one second. With this technique, the data to be stored is reduced and the analysis of this data also becomes simpler for the post disturbance and for future load prediction. The performance of the proposed method is evaluated in terms of accuracy of calculation and its implementation ability. The simulation results are as per the IEEE C37.118.1a2014 for the power system monitoring and fault identification.
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Gu, He Rong, Shao Cong An, Wei Zhao, and Xiao Qiang Guo. "Modeling and Simulation of Single Phase Inverter with Dynamic Phasors." Advanced Materials Research 354-355 (October 2011): 1381–85. http://dx.doi.org/10.4028/www.scientific.net/amr.354-355.1381.

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The power electronic devices are difficult to model due to their switching behavior. Conventional quasi-static models are difficult to reflect the dynamic behavior of the switching adequately. Electro-magnetic transient analysis based on time-domain models can offer improved accuracy, but their nonlinear time-varying nature is impractical to analyze the large power system. A model for single phase inverter on the basis of dynamic phasors is established in order to improve the accuracy of simulation and reduce computation. By comparing the dynamic phasor (DP) model and the detailed time domain electromagnetic transient (EMT) model of single phase inverter, the simulation results show that the DP method could ensure simulation accuracy and reduce computational cost.
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Li, Huan, and Kang Qin. "Dynamic Phasor Modelling of LCC-HVDC System Based on a Practical Project." E3S Web of Conferences 256 (2021): 01034. http://dx.doi.org/10.1051/e3sconf/202125601034.

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This paper presents a detailed dynamic phasor modeling process of a line-commutated converter-based HVDC (LCC-HVDC) system. Firstly, the dynamic phasor models of the single-ended LCC rectifier station, inverter station and the DC line are established, respectively. Secondly, LCC-HVDC is an AC-DC-AC system. The interfaces are explained to connect the converter stations with the DC line. Through block modeling, it is helpful to simplify the process and verify the accuracy of each block. Finally, based on a practical project, the model is compared with the electromagnetic-transient (EMT) simulation results in PSCAD/EMTDC to verify the accuracy of the dynamic phasor model.
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Xiao, Xianyong, Runze Zhou, Xiaoyang Ma, and Rui Xu. "Harmonic Phasor Estimation Method Considering Dense Interharmonic Interference." Entropy 25, no. 2 (2023): 236. http://dx.doi.org/10.3390/e25020236.

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Due to the limitation of frequency resolution and the spectrum leakage caused by signal windowing, the spectrums of harmonic and interharmonic components with close frequencies overlap each other. When the dense interharmonic (DI) components are close to the harmonic spectrum peaks, the harmonic phasor estimation accuracy is seriously reduced. To address this problem, a harmonic phasor estimation method considering DI interference is proposed in this paper. Firstly, based on the spectral characteristics of the dense frequency signal, the phase and amplitude characteristics are used to determine whether DI interference exists in the signal. Secondly, an autoregressive model is established by using the autocorrelation of the signal. Data extrapolation is performed on the basis of the sampling sequence to improve the frequency resolution and eliminate the interharmonic interference. Finally, the estimated values of harmonic phasor, frequency and rate of change of frequency are obtained. The simulation and some experimental results demonstrate that the proposed method can accurately estimate the parameters of harmonic phasors when DIs exist in the signal, and has a certain anti-noise capability and dynamic performance.
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Luo, Gang, Chongru Liu, Feng Qian, et al. "Three-phase dynamic phasor model of HVDC systems." Journal of Engineering 2017, no. 13 (2017): 2251–56. http://dx.doi.org/10.1049/joe.2017.0731.

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Mahmud, Md Rasel, Ahmed F. Abdou, and Hemanshu Pota. "Stability Analysis of Grid-Connected Photovoltaic Systems with Dynamic Phasor Model." Electronics 8, no. 7 (2019): 747. http://dx.doi.org/10.3390/electronics8070747.

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The typical layout of power systems is experiencing significant change, due to the high penetration of renewable energy sources (RESs). The ongoing evaluation of power systems is expecting more detailed and accurate mathematical modeling approaches for RESs which are dominated by power electronics. Although modeling techniques based on state–space averaging (SSA) have traditionally been used to mathematically represent the dynamics of power systems, the performance of such a model-based system degrades under high switching frequency. The multi-frequency averaging (MFA)-based higher-index dynamic phasor modeling tool is proposed in this paper, which is entirely new and can provide better estimations of dynamics. Dynamic stability analysis is presented in this paper for the MFA-based higher-index dynamical model of single-stage single-phase (SSSP) grid-connected photovoltaic (PV) systems under different switching frequencies.
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Azevedo, Rodrigo Godim, Sergio Gomes, and Thiago J. Masseran A. Parreiras. "Dynamic phasor model of HVDC links for linear analysis of dynamic performance." International Journal of Electrical Power & Energy Systems 160 (September 2024): 110101. http://dx.doi.org/10.1016/j.ijepes.2024.110101.

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Dissertations / Theses on the topic "Dynamic phasor model"

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Piyasinghe, Lakshan Prageeth. "Dynamic Phasor Based Analysis and Control in Renewable Energy Integration." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/6015.

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The objective of this dissertation is to carry out dynamic modeling, analysis and control of power systems with Renewable Energy Sources (RES) such as: Photovoltaic (PV) power sources and wind farms. The dissertation work is mainly focused on microgrid since it plays a major role in modern power systems and tend to have higher renewable power penetration. Two main theoretical concepts, dynamic phasor and impedance modeling have been adopted to model and analyze the power systems/mocrogrids with RES. The initial state calculation which is essential for small signal analysis of a system is carried out as the first step of the dissertation work. Dynamic phasor and impedance modeling techniques have been utilized to model and analyze power systems/micogrids as the second phase of the work. This part consists of two main studies. First case investigates the impedance modeling of Thyristor Controller Series Capacitor (TCSC) for sub-synchronous resonance (SSR) analysis where a wind farm is connected to a power system through series compensated line. Second case utilizes the dynamic phasor concept to model a microgrid in unbalanced condition. Here the unbalance is caused by a single phase PV connected to the microgrid. Third Phase of the dissertation work includes upper level control of the microgrid. Here prediction and optimization control for a microgrid with a wind farm, a PV system, an energy storage system and loads is evaluated. The last part of the dissertation work focuses on real time modeling and hardware in loop simulation test bed for microgrid applications. This dissertation has led to four journal papers (three accepted, one submitted) and five conference papers.
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Demiray, Turhan Hilmi. "Simulation of power system dynamics using dynamic phasor models /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17607.

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Rahbari, Ahmadreza. "Dynamic two phase flow models for flushing." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for energi- og prosessteknikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26320.

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This thesis aims at modeling the separated liquid-liquid flows with application for flushing. In the beginning, there will be a short review of the governing equations and the fundamental concepts used in this thesis. Two models are introduced and developed based on two previous PhD dissertations from NTNU(Trygve Wangensteen and Tor Kindsbekken Kjeldby). The properties of the fluids in these models are based on Oil, Exxsol D80, mu_o=1.79 [cP] and tapped water, mu_w=1.11 [cP]. These models will be numerically developed for both dynamic and stationary flows. The numerical scheme used for these models is explicit. A complete explanation about discretization is given in chapter 4.After developing the dynamic and stationary solutions for both models, there will be two major case studies. The first one is to understand when the dynamic and stationary solutions depart from one another as the mixture velocity varies between low velocities to high velocities. It turns out that The solutions look quite similar until the mixture velocity reaches the value of around U_M=1 [m/s]. Then the solutions become more and more different especially at the oil front. The second case study is about keeping the mixture velocity constant and varying the pipe angle. The pipe angle variation range lies between -2.5 and +5 degrees. For negative inclinations, the dynamic and stationary solutions agree quite well. However when the positive slope is put to the test and gravity is acting against the flow, the dynamic and stationary solutions differ more.\\Finally there will be a discussion on where this different behavior stems from. The two fluid model introduced at the beginning of this report is studied closely, term by term. These terms represent the frictional forces that balance the pressure gradient in the pipe. These forces are plotted for four different cases with mixture velocities varying from U_M=0.25 [m/s] to U_M=5 [m/s]. These figures reveal which forces dominate the solution for relatively low and high mixture velocities. The dominating forces are the ones that balance the pressure gradient. It turns out that the level gradient is quite significant and a dominant term in almost all cases. However as the mixture velocity increases, the acceleration terms grow to the same order of magnitude as the level gradient. But for the most part, the spatial and the temporal acceleration act symmetrically, and in effect cancel each other out. There will be a thorough discussion about this in the final chapter.
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Kalaikadal, Deepak Saagar. "A Parametric Investigation of Gas Bubble Growth and Pinch-Off Dynamics from Capillary-Tube Orifices in Liquid Pools." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342543385.

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Lodge, J. Felicity M. "Phase separation in model colloidal liquids by Brownian dynamics simulations." Thesis, University of Surrey, 1997. http://epubs.surrey.ac.uk/844592/.

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The technique of Brownian Dynamics simulation has been used to follow the evolution of model colloidal systems during phase separation in the liquid-vapour and solid-vapour regions of the phase diagram. Systems of monodisperse spherical particles interacting via LJ m:n type potentials were quenched in temperature from the one-phase region into the two phase region. Various structural and rheological properties were followed as the systems evolved, including the radial distribution functions, the small angle scattering peak of the structure factor, the interaction energy and the linear response rheology. The scaling behaviour of these quantities was found to be similar to that observed in light scattering experiments following the phase separation of colloidal systems. The aggregate structure could not be represented well by a single fractal dimension. Some evidence of fractal structure was found early in the phase separation, however the reversibility of the interactions allowed for a high degree of restructuring which led to a collapse of the initially tenuous structure into dense aggregates. The local structure was sensitive to the range of the interaction potential - as the potential became more short-ranged, increasing evidence of crystallisation of the denser phase was apparent from the form of g(f). Particles with 12:6 interactions formed structures displaying the rheological strength associated with an elastic gel. However restructuring was continual, resulting in a dense compact structure. The short-range 36:18 potential retained a tenuous gel-like structure and displayed an arrest of phase separation on long lengthscales. However, the particles did not have the interaction strength necessary to give significant rigidity to the system. This suggests that to form an arrested state with elastic gel-like rheology it would be necessary to have a more permanent form of interaction, in addition to the short-range reversible interactions used in this work.
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Gao, Feng. "Interior Permanent Magnet Synchronous Motor Demagnetization Fault Modeling and Analysis by Using Dynamic Phasors Model." Thesis, North Dakota State University, 2014. https://hdl.handle.net/10365/27473.

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Interior permanent magnet synchronous motor (IPMSM) has been widely used in hybrid electric vehicles (HEVs) since the high power density and efficiency. However, the primary drawback of IPMSM is the demagnetization phenomenon caused by the permanent magnets. Modeling of the demagnetization fault are important in developing and designing a protection system for the traction on HEVs, thus, an efficient and accurate IPMSM model for demagnetization fault simulation is necessary. By using the conventional dq0 IPMSM model, the current indicators of demagnetization fault are affected by noise which will cause inaccuracy of the simulation. For this reason, a dynamic phasors model of IPMSM is presented in this thesis. In this thesis, firstly, the dynamic phasors model of IPMSM is verified by using small-signal transient analysis for its stability. Secondly, the time-domain transient simulations of positive sequence currents are shown and compared to the conventional dq0 model with demagnetization fault.
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Doup, Benjamin. "Methodology Development of a Gas-Liquid Dynamic Flow Regime Transition Model." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1409031809.

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Orillaza, Jordan Rel Cajudo. "Harmonic State Space Model of Three Phase Thyristor Controlled Reactor." Thesis, University of Canterbury. Electrical and Computer Engineering, 2012. http://hdl.handle.net/10092/6634.

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Harmonic domain models have been developed for Thyristor Controller Reactors (TCR) and other power electronic devices. Recently, these models have been extended to describe not just the steady-state harmonic interactions but harmonic transients as well. However, these dynamic models consistently do not incorporate models for controls. On the other hand, for the TCR as a FACTS Controller, dynamic models are available in which only the fundamental frequency component of the Controller is included; excluding harmonic interactions presumes that these do not affect the dynamics of the Controller. This thesis describes the development of a Harmonic State Space (HSS) model of a three phase TCR. As an extended state space description, this model describes the dynamics of the Controller while capturing harmonic interactions. It also includes the effect of switching instant variation which significantly improves the effectiveness of the model and allows the controller feedback characteristics to be included. The result of this model was validated with a purely time-domain simulation in PSCAD/EMTDC. Using the HSS to model a power system with TCR, it is illustrated that harmonic interactions play a significant role in the dynamics of the system. It is observed that for the specific system analysed, the least-damped pole-pair which dominates the dynamics of the system is associated with the 5th harmonic. Failure to include interactions with this specific harmonic produces an inaccurate dynamic description. Preliminary to the development of HSS model, a linearised harmonic domain model of a TCR which establishes the harmonic interactions across the device is also developed. Results of this model are validated with a time-domain simulation. This characterisation paves the way for a reduced harmonic state space model that is used in the HSS model. The principles and procedures established in this thesis can be applied to the development of models for other FACTS Controllers or HVDC links.
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MARCELLINI, FRANCESCA. "Conservation laws in gas dynamics and traffic flow." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2009. http://hdl.handle.net/10281/7487.

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This PhD thesis is concerned with applications of nonlinear systems of conservation laws to gas dynamics and traffic flow modeling. The first part is devoted to the analytical description of a fluid flowing in a tube with varying cross section. We study the 2x2 model of the p-system and than, we extend the properties to the full 3x3 Euler system. We also consider a general nxn strictly hyperbolic system of balance laws; we study the Cauchy problem for this system and we apply this result to the fluid flow in a pipe wiyh varying section. Concerning traffic flow, we introduce a new macroscopic model, based on a non-smooth 2x2 system of conservation laws. We study the Riemann problem for this system and the qualitative properties of its solutions that are relevant from the point of view of traffic.
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Osborn, William R. "Statics and dynamics of interfaces in multi-phase fluids." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318759.

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Books on the topic "Dynamic phasor model"

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universitet, Uppsala, ed. Dynamics of random magnets. Acta Universitatis Upsaliensis, 1994.

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Marro, Joaquín. Nonequilibrium phase transitions in lattice models. Cambridge University Press, 1999.

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Mitlin, Vladimir S. Nonlinear dynamics of reservoir mixtures. CRC Press, 1993.

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International Symposium on Dynamics of Ordering Processes in Condensed Matter (1987 Kyoto, Japan). Dynamics of ordering processes in condensed matter. Plenum Press, 1988.

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N, Udodov V., and Khakasskiĭ gosudarstvennyĭ universitet imeni N.F. Katanova., eds. Modelirovanie fazovykh prevrashcheniĭ v nizkorazmernykh defektnykh nanostrukturakh. Khakasskiĭ gos. universitet, 2008.

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Shmakova, Marina. River sediments and soil erosion: methods and models. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2124906.

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The monograph presents the methodology developed by the author for assessing two—phase mass transfer in the catchment—water body system, which includes mathematical models of two-phase mass transfer in water bodies, soil erosion, models of channel and basin components of solid runoff in a river stream, sediment transport formulas, as well as solid runoff of water bodies in various applications - water turbidity, elevation changes the bottom of water bodies, including in case of adverse hydrometeorological phenomena. The monograph is a complete study that examines a wide range of issues related to the dynamics and environmental consequences of river sediment transport. It can be used both in the training of senior students of geographical and environmental orientation, and in the practical activities of employees of research organizations, departments of nature protection of industrial and agricultural enterprises, as well as government agencies related to the protection and rational use of both surface water bodies and land resources.
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Johansen, Stein Tore. On the modelling of disperse two-phase flows. Norwegian Institute of Technology, 1990.

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ILL Workshop (1988 Grenoble, France). Dynamics of disordered materials: Proceedings of the ILL Workshop, Grenoble, France, September 26-28, 1988. Edited by Richter D. 1947- and Institut Laue-Langevin. Springer-Verlag, 1989.

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Mazo, Aleksandr, and Konstantin Potashev. The superelements. Modeling of oil fields development. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.

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This monograph presents the basics of super-element modeling method of two-phase fluid flows occurring during the development of oil reservoir. The simulation is performed in two stages to reduce the spatial and temporal scales of the studied processes. In the first stage of modeling of development of oil deposits built long-term (for decades) the model of the global dynamics of the flooding on the super-element computational grid with a step equal to the average distance between wells (200-500 m). Local filtration flow, caused by the action of geological and technical methods of stimulation, are modeled in the second stage using a special mathematical models using computational grids with high resolution detail for the space of from 0.1 to 10 m and time — from 102 to 105 C.
 The results of application of the presented models to the solution of practical tasks of development of oil reservoir. Special attention is paid to the issue of value transfer in filtration-capacitive properties of the reservoir, with a detailed grid of the geological model on the larger grid reservoir models.
 Designed for professionals in the field of mathematical and numerical modeling of fluid flows occurring during the development of oil fields and using traditional commercial software packages, as well as developing their own software. May be of interest to undergraduate and graduate students studying in areas such as "Mechanics and mathematical modeling", "Applied mathematics", "Oil and gas".
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Suzuki, Sei. Quantum Ising Phases and Transitions in Transverse Ising Models. 2nd ed. Springer Berlin Heidelberg, 2013.

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Book chapters on the topic "Dynamic phasor model"

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Boguslavskiy, Josif A. "Designing Motion Control to a Target Point of Phase Space." In Dynamic Systems Models. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-04036-3_8.

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Wehrstedt, Jan Christoph, Jennifer Brings, Birte Caesar, et al. "Modeling and Analyzing Context-Sensitive Changes during Runtime." In Model-Based Engineering of Collaborative Embedded Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62136-0_6.

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AbstractFor collaborative embedded systems, it is essential to consider not only the behavior of each system and the interaction between systems, but also the interaction of systems with their often dynamic and unknown context.In this chapter, we present a solution approach based on process building blocks— describing both the modelling approach as well as the model execution approach—for engineering and operation to achieve the goal of developing systems that deal with dynamics in their open context at runtime by re-using the models from the engineering phase.
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Ishii, Mamoru, and Takashi Hibiki. "Drift-Flux Model." In Thermo-Fluid Dynamics of Two-Phase Flow. Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-29187-1_13.

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Ishii, Mamoru, and Takashi Hibiki. "Two-Fluid Model." In Thermo-Fluid Dynamics of Two-Phase Flow. Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-29187-1_9.

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Ishii, Mamoru, and Takashi Hibiki. "Drift-Flux Model." In Thermo-Fluid Dynamics of Two-Phase Flow. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7985-8_13.

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Ishii, Mamoru, and Takashi Hibiki. "Two-fluid Model." In Thermo-Fluid Dynamics of Two-Phase Flow. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7985-8_9.

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Zhao, Jiaxin. "Study on Dynamic Porosity and Dynamic Characteristics of Unsaturated Soils." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-5814-2_13.

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AbstractUnder dynamic load, the porosity of unsaturated soil will change correspondingly, affecting the research accuracy of soil. Therefore, a dynamic response model of unsaturated soil considering dynamic porosity is established based on mixture theory to reveal the dynamic characteristics of unsaturated soils fully. The Comsol Multiphysics PDE is used to analyze the porosity change and dynamic response characteristics of two-dimensional unsaturated soil under vertical harmonic load. The numerical results show that the difference in the upper boundary is an essential factor affecting the dynamic characteristics of the subgrade. Compared with the upper boundary impervious to water and air, the pressure of the liquid and gas phases is zero, and the change of porosity and vertical displacement is more prominent. When considering the dynamic porosity, the porosity decreases under the load, and the resistance becomes more prominent when the soil skeleton is compressed, so the vertical displacement decreases, resulting in a corresponding decrease in liquid and gas phase pressure.
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Ahn, Taehoon, Robert S. Mackay, and Jacques-A. Sepulchre. "Dynamics of Relative Phases: Generalised Multibreathers." In Normal Modes and Localization in Nonlinear Systems. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-2452-4_9.

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Lu, Hangyu, Xiaodong Wu, and Liang Yan. "A Way Beyond Drifting: Cornering at the Unexploited Region of Dynamics." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_98.

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AbstractLinear range considerations in the tire-road contact restrict the potential of dynamic control designs of passenger vehicles, while strong nonlinear dynamics such as drifting are intrinsically dangerous. In this paper, based on the chassis with independent wheel drive/brake torque control, we propose a model-based strategy to exploit the potentials of all four tires in combined slips to elevate the cornering performance in critical maneuvers. The model-inversed results indicate that the maximal achievable steady-state (SS) yawing is larger than the widely-used boundary for control system design. Nonlinear dynamics around the created stable motions are further analyzed by plotting phase planes. With feedback control incorporated, the proposed strategy is verified in simulations for both local and global dynamics. The method also shows a distinctive availability of tuning different vehicles into desired driving characteristics and elevating their performance levels through independent powertrains.
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Rocşoreanu, C., A. Georgescu, and N. Giurgiţeanu. "Global Bifurcation Diagram and Phase Dynamics for the FitzHugh-Nagumo Model." In The FitzHugh-Nagumo Model. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9548-3_5.

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Conference papers on the topic "Dynamic phasor model"

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Mahmood, Hisham, Samrat Acharya, Francis Tuffner, Priya Mana, and Alok Kumar Bharati. "Dynamic Model of Back-to-Back Converter for System-Level Phasor Simulation." In 2024 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10688877.

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Nair, Salini, Gopal Gaonkar, and Ranjith Mohan. "Influence of Dynamic Inflow States on Coupled Rotor Fuselage Modes." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11441.

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Dynamic inflow effects on stability and modes of a coupled rotor-fuselage system are investigated. Dynamic inflow effects are incorporated using Peters-He model. Characteristics of different modes associated with a coupled rotor-fuselage system are investigated. In addition to the magnitude of the states in the eigenvector (periodic eigenvector in general), phases of the states are also used to characterize the modes. From this approach, the effect of wake on different modes is demonstrated for two earlier tested configurations under ground-contact conditions. The ambiguity in naming a mode (due to participation of different states) is resolved from the relative phases of the relevant states.
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Koutenaei, Maryam Mahmoudi, Sumit Paudyal, and Tuyen Vu. "Efficient Dynamic Phasor Model of Distributed Photovoltaic Systems." In 2023 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2023. http://dx.doi.org/10.1109/pesgm52003.2023.10252837.

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Zhijun, E., Ka Wing Chan, and Dazhong Fang. "A Practical Dynamic Phasor Model of Static VAR Compensator." In 2006 2nd International Conference on Power Electronics Systems and Applications. IEEE, 2006. http://dx.doi.org/10.1109/pesa.2006.343062.

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Gajjar, Kevin Kaushikbhai, and Mahipalsinh C. Chudasama. "Dynamic phasor model of wams enabled transient stability controller." In 2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC). IEEE, 2017. http://dx.doi.org/10.1109/icomicon.2017.8279048.

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Huang, Yingwei, Seyyedmilad Ebrahimi, Navid Amiri, Hamid Atighechi, and Juri Jatskevich. "A parametric dynamic phasor model of line-commutated rectifier systems." In 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2016. http://dx.doi.org/10.1109/ccece.2016.7726855.

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Ruiwen He and Zexiang Cai. "Dynamic phasor model of TCSC with application to SSR analysis." In 7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20062137.

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Konara, Harshani, U. D. Annakkage, and C. Karawita. "Stability Criterion for Interfacing a Transient Stability Model to a Dynamic Phasor Model." In 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). IEEE, 2018. http://dx.doi.org/10.1109/tdc.2018.8440345.

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Zhijun, E., K. W. Chan, and D. Z. Fang. "Hybrid Simulation of Power Systems with Dynamic Phasor SVC Transient Model." In 2007 7th International Conference on Power Electronics and Drive Systems. IEEE, 2007. http://dx.doi.org/10.1109/peds.2007.4487933.

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Dimitrovski, Robert, and Matthias Luther. "Generalized Dynamic Phasor Model of an MMC using Novel Mathematical Framework." In 2020 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2020. http://dx.doi.org/10.1109/pesgm41954.2020.9281585.

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Reports on the topic "Dynamic phasor model"

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Wan, Y. H. Synchronized Phasor Data for Analyzing Wind Power Plant Dynamic Behavior and Model Validation. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1067916.

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Kennedy, Meaghan, Michaela Bonnett, and Teri Garstka. A Model for Technology-Enabled Community Resilience. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/plcr9111.

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Introduction Tech-Enabled Community Resilience is an innovative model designed to enhance resilience and optimize impact in complex systems such as communities and ecosystems. The model leverages social network analysis and technology to visualize network dynamics, measure interactions, and implement targeted interventions. Model Structure The approach consists of two key stages: a Startup Phase focused on assembling champions and co-creating a shared vision, and a Steady-state Phase involving iterative measurement and intervention. By utilizing technology platforms for data collection and visualization, the model provides near real-time understanding of network functioning. Advantages Over Traditional Approaches Traditional resource mapping approaches provide a limited understanding of the network based on a static understanding of resources and a lack of complexity about network function. The Tech-Enabled Community Resilience model provides for a more dynamic, systems-thinking perspective. The model allows for precision interventions based on network structure, potentially influencing community-level outcomes. Case Studies and Research Findings Case studies from social care networks and economic development initiatives demonstrate the model's applicability across various contexts. Research findings linking network cohesion to improved community outcomes during crises, and network structure to increased innovation in ecosystems, underscore the model's potential impact. Future Directions Further model refinement includes the development of a portfolio of network-based interventions, integration of real-time data sources, and strategies for adaptive governance structures. This model represents a significant advancement in how to understand and harness complex systems for community resilience and impact optimization.
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Choi, A. S. Validation of DWPF MOG dynamics model -- Phase 1. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/491472.

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VAN Poppel, Jon A., David J. Pancratz, Mike H. Rangel, Brian J. Barton, and Robert D. Banks. Model Validation and Design for the Dynamic Environment Simulator. Phase 2. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada361235.

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Hunter, Abigail, and Irene J. Beyerlein. Atomistically informed 3D phase field dislocation dynamics (PFDD) model for nanomaterials. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1127480.

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Weaver, Claire Marie, Abigail Hunter, Irene Beyerlein, Enrique Martinez Saez, and Curt Allan Bronkhorst. Advancing a phase field dislocation dynamics code to model HCP materials. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1392828.

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Slusher, Joseph T., and Raymond D. Mountain. A molecular dynamics study of a reversed-phase liquid chromatography model. National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6222.

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Mojidra, Rushil, and Keri Ryan. Influence of Vertical Ground Motion on Bridges Isolated with Spherical Sliding Bearings. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2019. http://dx.doi.org/10.55461/rynq3624.

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The motivation for this project developed from testing of a full scale building isolated with triple friction pendulum bearings on the E-defense shake table in Japan. The test demonstrated experimentally that the vertical component of ground motion can amplify both the base shear and the story acceleration in the isolated building. Vertical shaking introduced high-frequency variation in the axial force of the bearings, and, consequently, a high-frequency component in the bearing lateral force, which excited higher structural modes in the building. Since vertical bridges are flexible in the vertical direction because of long spans, similar effects may be observed in bridges. The objectives of this study are to develop a physical understanding of the amplification of responses and develop a simplified method to predict amplification of base shear in three-dimensional (3D) shaking relative to two-dimensional (2D) shaking, for bridges isolated with spherical sliding bearings. A series of ground motions with a wide range of vertical shaking intensity were applied to 3D models of bridges isolated with triple pendulum bearings (TPBs), both excluding the vertical component (2D motion) and including the vertical component (3D motion). This enabled the comparison of the bridge response under 2D and 3D shaking such that the direct effect of vertical shaking could be investigated. The selected ground motions were fit to target spectra in the horizontal and vertical directions, and divided into three groups based on vertical peak ground acceleration (PGAV). Multi-span concrete box girder bridges were selected for this study, as they are a prominent bridge type in California, and are suitable for seismic isolation. Models were developed for a 3-span, 45-ft wide, multi-column Base Model bridge; various superstructure and isolation-system parameter variations were implemented to evaluate the effect of these variations on the amplification of base shear. Response histories were compared for a representative motion from each ground-motion group under 2D and 3D shaking. Modal and spectral analyses were conducted to understand dynamic properties and behavior of the bridge under vertical motion. Based on simplified theory, a method to estimate the amplification of base shear due to vertical shaking was developed. The accuracy of the simplified method was assessed through a base shear normalized error metric, and different amplification factors were considered. Response history analysis showed significant amplification of base shear under 3D motion implying that exclusion of vertical component could lead to under estimation of demand shear forces on bridge piers. Deck acceleration spectral response at different locations revealed that a transverse-vertical modal coupling response was present in the Base Model bridge, which led to amplification of deck accelerations in addition to base shear due to excitation of the superstructure transverse mode. The simplified method predicted that in addition to the peak vertical ground acceleration base shear amplification depended on the isolation-system period (radius of curvature) and friction coefficient. The error in the simplified method was approximately constant across the range of isolation-system parameters. Variations in the bridge superstructure or substructure modeling parameters had only a minor effect on the base shear since the deck acts as a single mass sliding on isolators; therefore, the simplified method can be applied to a range of bridge models. The simplified method includes an amplification factor that indirectly represents the dynamic amplification of vertical acceleration from the ground to the isolation system. An amplification factor of 1.0 was found to be sufficiently conservative to estimate the base shear due to 3D shaking. The lack of apparent dynamic amplification could mean that the peak vertical acceleration is out-of-phase with the base shear. The simplified method is more likely to be unconservative for high-intensity vertical ground motions due to the complexities associated with uplift and pounding. Further investigation is recommended to determine the threshold shaking intensity limit for the simplified method.
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Pasupuleti, Murali Krishna. Phase Transitions in High-Dimensional Learning: Understanding the Scaling Limits of Efficient Algorithms. National Education Services, 2025. https://doi.org/10.62311/nesx/rr1125.

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Abstract: High-dimensional learning models exhibit phase transitions, where small changes in model complexity, data size, or optimization dynamics lead to abrupt shifts in generalization, efficiency, and computational feasibility. Understanding these transitions is crucial for scaling modern machine learning algorithms and identifying critical thresholds in optimization and generalization performance. This research explores the role of high-dimensional probability, random matrix theory, and statistical physics in analyzing phase transitions in neural networks, kernel methods, and convex vs. non-convex optimization. Key focus areas include the computational-to-statistical gap, double descent phenomena, and spectral phase transitions that impact model efficiency. The study also investigates the scaling limits of iterative optimization methods, highlighting when gradient-based learning succeeds or fails in high-dimensional regimes. By integrating theoretical analysis and empirical validation, this report provides a structured framework for designing scalable, efficient, and robust AI systems that can adapt to phase transitions and scaling laws in high-dimensional learning. Keywords: Phase transitions in learning, high-dimensional probability, scaling laws, statistical physics in AI, random matrix theory, computational-to-statistical gap, neural network overparameterization, double descent phenomenon, convex vs. non-convex optimization, spectral phase transitions, kernel methods in high dimensions, scaling limits in deep learning, gradient-based optimization, iterative learning algorithms, eigenvalue distributions in machine learning, large-scale AI efficiency, threshold effects in generalization, scaling-aware machine learning, AI robustness in high dimensions.
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Paidoussis, Michael. PR-593-18700-R01 Brine String Dynamics IV Deformation-Vibration in Solution Mined Caverns. Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0012099.

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The research described in this report is focused on the dynamics of the brine strings utilized in solution-mined caverns. In Configuration 3, fluid enters the system from the top of the brine string and exits via the annulus between the brine string and the casing. In Configuration 4 the flows are inverted. An improved analytical model for stability of the brine string in Configuration 3 has been generated, and considerably better modelling for Configuration 4 achieved. Experiments in a bench-top sized system and CFD work were pursued partly to further improve the analytical models, and partly to explain some unexpected observations from a full-scale cavern, reported by Reitze in 2019. Note: Phase IV of this research was funded jointly by the Solution Mining Research Institute (SMRI) and Pipeline Research Council International (PRCI), and SMRI has published this same report with some formatting differences.
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