Relevant bibliographies by topics / Dynamic simulation of power system

Contents

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

Academic literature on the topic 'Dynamic simulation of power system'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Dynamic simulation of power system"

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Neuman, P., K. Máslo, B. Šulc, and A. Jarolímek. "Power System and Power Plant Dynamic Simulation." IFAC Proceedings Volumes 32, no. 2 (July 1999): 7294–99. http://dx.doi.org/10.1016/s1474-6670(17)57244-4.

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Sun, Shu Xia, Xiang Jun Zhu, and Ming Ming Wang. "Power Turret the Dynamics Simulation Analysis of Power Turret." Applied Mechanics and Materials 198-199 (September 2012): 133–36. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.133.

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The dynamic performance of the CNC turret affect the cutting capability and cutting efficiency of the NC machine tool directly, embody the core level of the design and manufacture of the NC machine tool. However, the dynamic performance of the CNC turret mostly decided by the dynamic performance of the power transmission system of the power turret. This passage use Pro/E to set the accurate model of the gears and the CAD model of the gear transmission system and based on this to constitute the ADAMS model of virtual prototype. On the many-body contact dynamics theory basis, dynamic describes the process of the mesh of the gears, work out the dynamic meshing force under the given input rotating speed and loading, and the vibration response of the gear system. The simulation result disclosure the meshing shock excitation and periodical fluctuation phenomena arose by stiffness excitation of the gear transmission. Analyses and pick-up the radial vibration response of the output gear of the gear transmission system as the feasibility analysis data.
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Kurita, A., H. Okubo, K. Oki, S. Agematsu, D. B. Klapper, N. W. Miller, W. W. Price, J. J. Sanchez-Gasca, K. A. Wirgau, and T. D. Younkins. "Multiple time-scale power system dynamic simulation." IEEE Transactions on Power Systems 8, no. 1 (1993): 216–23. http://dx.doi.org/10.1109/59.221237.

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Liu, Chengxi, Bin Wang, and Kai Sun. "Fast Power System Dynamic Simulation Using Continued Fractions." IEEE Access 6 (2018): 62687–98. http://dx.doi.org/10.1109/access.2018.2876055.

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Dinkelbach, Jan, Ghassen Nakti, Markus Mirz, and Antonello Monti. "Simulation of Low Inertia Power Systems Based on Shifted Frequency Analysis." Energies 14, no. 7 (March 27, 2021): 1860. http://dx.doi.org/10.3390/en14071860.

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New types of power system transients with lower time constants are emerging due to the replacement of synchronous generation with converter interfaced generation and are challenging the modeling approaches conventionally applied in power system simulation. Quasi-stationary simulations are based on classical phasor models, whereas EMT simulations calculate the instantaneous values of models in the time domain. In addition to these conventional modeling approaches, this paper investigates simulation based on dynamic phasor models, as has been proposed by the Shifted Frequency Analysis. The simulation accuracy of the three modeling approaches was analyzed for characteristic transients from the electromagnetic to the electromechanical phenomena range, including converter control as well as low inertia transients. The analysis was carried out for systems with converter interfaced and synchronous generation whilst considering the simulation step size as a crucial influence parameter. The results show that simulations based on dynamic phasors allow for larger step sizes than simulations that calculate the instantaneous values in the time domain. This can facilitate the simulation of more complex component models and larger grid sizes. In addition, with dynamic phasors, more accurate simulation results were obtained than with classical phasors, in particular—but not exclusively—in a low inertia case. Overall, the presented work demonstrates that dynamic phasors can enable fast and accurate simulations during the transition to low inertia power systems.
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Li, Ang. "Simulation and Application of Power System Stabilizer on Power System Transient Stability." Open Electrical & Electronic Engineering Journal 8, no. 1 (December 31, 2014): 258–62. http://dx.doi.org/10.2174/1874129001408010258.

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This paper introduces the working principle and the mathematical model of additional power system excitation control-Power System Stabilizer (PSS). Through established a typical single machine-infinite bus power system simulation model, we simulate the synchronous generator’s transient operational characteristics following a severe disturbance. The simulation results show that the PSS can not only effectively increase the system damping, but also improve operational characteristics of the generator, considerably enhance power system dynamic and transient stability.
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He, Ping, Seyed Arefifar, Congshan Li, Fushuan Wen, Yuqi Ji, and Yukun Tao. "Enhancing Oscillation Damping in an Interconnected Power System with Integrated Wind Farms Using Unified Power Flow Controller." Energies 12, no. 2 (January 21, 2019): 322. http://dx.doi.org/10.3390/en12020322.

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The well-developed unified power flow controller (UPFC) has demonstrated its capability in providing voltage support and improving power system stability. The objective of this paper is to demonstrate the capability of the UPFC in mitigating oscillations in a wind farm integrated power system by employing eigenvalue analysis and dynamic time-domain simulation approaches. For this purpose, a power oscillation damping controller (PODC) of the UPFC is designed for damping oscillations caused by disturbances in a given interconnected power system, including the change in tie-line power, the changes of wind power outputs, and others. Simulations are carried out for two sample power systems, i.e., a four-machine system and an eight-machine system, for demonstration. Numerous eigenvalue analysis and dynamic time-domain simulation results confirm that the UPFC equipped with the designed PODC can effectively suppress oscillations of power systems under various disturbance scenarios.
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Jang, Jin-Seok, and Jeong-Hyun Sohn. "59269 DYNAMICS SIMULATION OF OFFSHORE WIND POWER SYSTEM SUBJECTED TO WAVE EXCITATION(Multibody System Analysi)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _59269–1_—_59269–5_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._59269-1_.

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Yu, Rui, Shi Wei Yao, and Chun Guo Wang. "Dynamic Simulation on Secondary System of Nuclear Power Plant." Advanced Materials Research 591-593 (November 2012): 620–25. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.620.

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The secondary system of Qinshan phase I nuclear power plant is simulated in this study. According to the characteristics of the JTopmeret model, the system is divided into six parts for modeling, which are the deaerator, the high pressure (HP) turbine, the low pressure (LP) turbine, the moisture separator reheater (MSR), the condensate system, and the feedwater system. All parts are built as the graphic automatic models in JTopmeret and debugged on the large-scale simulation platform GSE to complete the steady-state and dynamic simulation of the models. The results show that the steady-state and dynamic processes of the models are consistent with the characteristics of the actual system. It verifies the correctness of the simulation models. Thus, this research is able to provide guidance for the operation analysis and the equipment debugging of the secondary system of the nuclear power plant.
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Li, Xiao Dong, Zhong Xing Dong, Wei Zong, and Zong Qi Liu. "A Battery Dynamic Model for the Power System Simulation." Advanced Materials Research 805-806 (September 2013): 458–63. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.458.

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This paper analyzes the battery dynamic characteristics as well as some existing battery models, then presents a universal battery model applicable to micro-grid simulation. The model is composed of a controlled voltage source in series with a constant resistance .The voltage of the controlled voltage source is a one-to-one correspondence with the state of charge (SOC) of the battery, which can effectively avoid the algebraic loop problem. The parameters of the model can be easily extracted from the battery discharge curve. The simulation results shows that the biggest advantage of this model is that the initial SOC of the battery can be set accordingly, which allows the battery to be charged or discharged from any SOC conveniently.
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Dissertations / Theses on the topic "Dynamic simulation of power system"

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Bousnane, Kafiha. "Real-time power system dynamic simulation." Thesis, Durham University, 1990. http://etheses.dur.ac.uk/6623/.

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The present day digital computing resources are overburdened by the amount of calculation necessary for power system dynamic simulation. Although the hardware has improved significantly, the expansion of the interconnected systems, and the requirement for more detailed models with frequent solutions have increased the need for simulating these systems in real time. To achieve this, more effort has been devoted to developing and improving the application of numerical methods and computational techniques such as sparsity-directed approaches and network decomposition to power system dynamic studies. This project is a modest contribution towards solving this problem. It consists of applying a very efficient sparsity technique to the power system dynamic simulator under a wide range of events. The method used was first developed by Zollenkopf (^117) Following the structure of the linear equations related to power system dynamic simulator models, the original algorithm which was conceived for scalar calculation has been modified to use sets of 2 * 2 sub-matrices for both the dynamic and algebraic equations. The realisation of real-time simulators also requires the simplification of the power system models and the adoption of a few assumptions such as neglecting short time constants. Most of the network components are simulated. The generating units include synchronous generators and their local controllers, and the simulated network is composed of transmission lines and transformers with tap-changing and phase-shifting, non-linear static loads, shunt compensators and simplified protection. The simulator is capable of handling some of the severe events which occur in power systems such as islanding, island re-synchronisation and generator start-up and shut-down. To avoid the stiffness problem and ensure the numerical stability of the system at long time steps at a reasonable accuracy, the implicit trapezoidal rule is used for discretising the dynamic equations. The algebraisation of differential equations requires an iterative process. Also the non-linear network models are generally better solved by the Newton-Raphson iterative method which has an efficient quadratic rate of convergence. This has favoured the adoption of the simultaneous technique over the classical partitioned method. In this case the algebraised differential equations and the non-linear static equations are solved as one set of algebraic equations. Another way of speeding-up centralised simulators is the adoption of distributed techniques. In this case the simulated networks are subdivided into areas which are computed by a multi-task machine (Perkin Elmer PE3230). A coordinating subprogram is necessary to synchronise and control the computation of the different areas, and perform the overall solution of the system. In addition to this decomposed algorithm the developed technique is also implemented in the parallel simulator running on the Array Processor FPS 5205 attached to a Perkin Elmer PE 3230 minicomputer, and a centralised version run on the host computer. Testing these simulators on three networks under a range of events would allow for the assessment of the algorithm and the selection of the best candidate hardware structure to be used as a dedicated machine to support the dynamic simulator. The results obtained from this dynamic simulator are very impressive. Great speed-up is realised, stable solutions under very severe events are obtained showing the robustness of the system, and accurate long-term results are obtained. Therefore, the present simulator provides a realistic test bed to the Energy Management System. It can also be used for other purposes such as operator training.
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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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Geitner, Gert-Helge, and Guven Komurgoz. "Power Flow Modelling of Dynamic Systems." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-171305.

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As tools for dynamic system modelling both conventional methods such as transfer function or state space representation and modern power flow based methods are available. The latter methods do not depend on energy domain, are able to preserve physical system structures, visualize power conversion or coupling or split, identify power losses or storage, run on conventional software and emphasize the relevance of energy as basic principle of known physical domains. Nevertheless common control structures as well as analysis and design tools may still be applied. Furthermore the generalization of power flow methods as pseudo-power flow provides with a universal tool for any dynamic modelling. The phenomenon of power flow constitutes an up to date education methodology. Thus the paper summarizes fundamentals of selected power flow oriented modelling methods, presents a Bond Graph block library for teaching power oriented modelling as compact menu-driven freeware, introduces selected examples and discusses special features.
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McCoy, Timothy J. (Timothy John). "Dynamic simulation of shipboard electric power systems." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12495.

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Roa-Sepulveda, C. A. "Dynamic simulation of voltage instability phenomena in power systems." Thesis, Imperial College London, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390456.

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Yang, Dan. "Power system dynamic security analysis via decoupled time domain simulation and trajectory optimization." [Ames, Iowa : Iowa State University], 2006.

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Abed, Nagy Youssef. "Physical dynamic simulation of shipboard power system components in a distributed computational environment." FIU Digital Commons, 2007. http://digitalcommons.fiu.edu/etd/1100.

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Shipboard power systems have different characteristics than the utility power systems. In the Shipboard power system it is crucial that the systems and equipment work at their peak performance levels. One of the most demanding aspects for simulations of the Shipboard Power Systems is to connect the device under test to a real-time simulated dynamic equivalent and in an environment with actual hardware in the Loop (HIL). The real time simulations can be achieved by using multi-distributed modeling concept, in which the global system model is distributed over several processors through a communication link. The advantage of this approach is that it permits the gradual change from pure simulation to actual application. In order to perform system studies in such an environment physical phase variable models of different components of the shipboard power system were developed using operational parameters obtained from finite element (FE) analysis. These models were developed for two types of studies low and high frequency studies. Low frequency studies are used to examine the shipboard power systems behavior under load switching, and faults. High-frequency studies were used to predict abnormal conditions due to overvoltage, and components harmonic behavior. Different experiments were conducted to validate the developed models. The Simulation and experiment results show excellent agreement. The shipboard power systems components behavior under internal faults was investigated using FE analysis. This developed technique is very curial in the Shipboard power systems faults detection due to the lack of comprehensive fault test databases. A wavelet based methodology for feature extraction of the shipboard power systems current signals was developed for harmonic and fault diagnosis studies. This modeling methodology can be utilized to evaluate and predicate the NPS components future behavior in the design stage which will reduce the development cycles, cut overall cost, prevent failures, and test each subsystem exhaustively before integrating it into the system.
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Zhang, Peng. "Shifted frequency analysis for EMTP simulation of power system dynamics." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/7727.

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Electromagnetic Transients Program (EMTP) simulators are being widely used in power system dynamics studies. However, their capability in real time simulation of power systems is compromised due to the small time step required resulting in slow simulation speeds. This thesis proposes a Shifted Frequency Analysis (SFA) theory to accelerate EMTP solutions for simulation of power system operational dynamics. A main advantage of the SFA is that it allows the use of large time steps in the EMTP solution environment to accurately simulate dynamic frequencies within a band centered around the fundamental frequency. The thesis presents a new synchronous machine model based on the SFA theory, which uses dynamic phasor variables rather than instantaneous time domain variables. Apart from using complex numbers, discrete-time SFA synchronous machine models have the same form as the standard EMTP models. Dynamic phasors provide envelopes of the time domain waveforms and can be accurately transformed back to instantaneous time values. When the frequency spectra of the signals are close to the fundamental power frequency, the SFA model allows the use of large time steps without sacrificing accuracy. Speedups of more than fifty times over the traditional EMTP synchronous machine model were obtained for a case of mechanical torque step changes. This thesis also extends the SFA method to model induction machines in the EMTP. By analyzing the relationship between rotor and stator physical variables, a phase-coordinate model with lower number of equations is first derived. Based on this, a SFA model is proposed as a general purpose model capable of simulating both fast transients and slow dynamics in induction machines. Case study results show that the SFA model is in excess of seventy times faster than the phase-coordinate EMTP model when simulating the slow dynamics. In order to realize the advantage of SFA models in the context of the simulation of the complete electrical network, a dynamic-phasor-based EMTP simulation tool has been developed.
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Kook, Kyung Soo Soo. "Dynamic Model Based Novel Findings in Power Systems Analysis and Frequency Measurement Verification." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/27761.

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This study selects several new advanced topics in power systems, and verifies their usefulness using the simulation. In the study on ratio of the equivalent reactance and resistance of the bulk power systems, the simulation results give us the more correct value of X/R of the bulk power system, which can explain why the active power compensation is also important in voltage flicker mitigation. In the application study of the Energy Storage System(ESS) to the wind power, the new model implementation of the ESS connected to the wind power is proposed, and the control effect of ESS to the intermittency of the wind power is verified. Also this study conducts the intensive simulations for clarifying the behavior of the wide-area power system frequency as well as the possibility of the on-line instability detection. In our POWER IT Laboratory, since 2003, the U.S. national frequency monitoring network (FNET) has been being continuously operated to monitor the wide-area power system frequency in the U.S. Using the measured frequency data, the event of the power system is triggered, and its location and scale are estimated. This study also looks for the possibility of using the simulation technologies to contribute the applications of FNET, finds similarity of the event detection orders between the frequency measurements and the simulations in the U.S. Eastern power grid, and develops the new methodology for estimating the event location based on the simulated N-1 contingencies using the frequency measurement. It has been pointed out that the simulation results can not represent the actual response of the power systems due to the inevitable limit of modeling power systems and different operating conditions of the systems at every second. However, in the circumstances that we need to test such an important infrastructure supplying the electric energy without taking any risk of it, the software based simulation will be the best solution to verify the new technologies in power system engineering and, for doing this, new models and better application of the simulation should be proposed. Conducting extensive simulation studies, this dissertation verified that the actual X/R ratio of the bulk power systems is much lower than what has been known as its typical value, showed the effectiveness of the ESS control to mitigate the intermittence of the wind power from the perspective of the power grid using the newly proposed simulation model of ESS connected to the wind power, and found many characteristics of the wide-area frequency wave propagation. Also the possibility of using the simulated responses of the power system for replacing the measured data could be confirmed and this is very promising to the future application of the simulation to the on-line analysis of the power systems based on the FNET measurements.
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Pearmine, Ross Stuart. "Review of primary frequency control requirements on the GB power system against a background of increasing renewable generation." Thesis, Brunel University, 2006. http://bura.brunel.ac.uk/handle/2438/724.

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The system frequency of a synchronous power system varies with the imbalance of energy supplied and the electrical energy consumed. When large generating blocks are lost, the system undergoes a frequency swing relative to the size of the loss. Limits imposed on the magnitude of frequency deviation† prevent system collapse. Operation of frequency responsive plant to control frequency, results in lower machine efficiencies. Changes to the generation mix on the British transmission system have occurred in the past ten years, when the response requirement was last reviewed. Future increased levels of wind turbines‡ will alter the operational characteristics of the system and warrant investigation. A process to optimise the response requirements while maintaining statutory limits on frequency deviation has been identified. The method requires suitable load and generator models to replicate transmission system performance. A value to substitute for current load sensitivity to frequency has been presented from empirical studies. Traditional coal fired generator models have been improved with additional functions to provide a comparable response with existing units. A novel combined cycle gas turbine model using fundamental equations and control blocks has also been developed. A doubly fed induction generator model, based on existing literature, has been introduced for representing wind turbine behaviour in system response studies. Validation of individual models and the complete system against historic loss events has established confidence in the method. A review of the current system with the dynamic model showed that current primary response requirements are inadequate. The secondary response requirements generally show a slight reduction in the holding levels. Simulations including extra wind generation have shown that there is potential to reduce the primary response requirement in the future. The secondary response requirements are maintained with added wind farms.
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Books on the topic "Dynamic simulation of power system"

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Oberle, Berthold. Auslegungsgrundlagen und numerische Simulation des instationaren Betriebsverhaltens eines solardynamischen Energie-versorgungsmoduls fur Raumfahrtmissionen. Koln: DLR, 1992.

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Shaltens, Richard K. Update of the 2 kW solar dynamic ground test demonstration. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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Shaltens, Richard K. Update of the 2 kW solar dynamic ground test demonstration. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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Ostroff, Aaron J. Study of a simulation tool to determine achievable control dynamics and control power requirements with perfect tracking. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.

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Heyde, Chris Oliver. Dynamic voltage security assessment for on-line control room application =: (Dynamische Spannungsstabilitätsrechnungen als online Entscheidungsgrundlage für die Leitwarte). Magdeburg: Otto-von-Guericke-Universität Magdeburg, 2010.

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Shaltens, Richard K. Overview of the solar dynamic ground test demonstration program at the NASA Lewis Research Center. [Washington, DC]: National Aeronautics and Space Administration, 1995.

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P, Bornard, and Meyer B, eds. Power system simulation. London: Chapman & Hall, 1997.

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Korn, Granino Arthur. Interactive dynamic system simulation. New York: McGraw-Hill, 1989.

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Interactive dynamic-system simulation. 2nd ed. Boca Raton, FL: CRC Press, 2011.

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Korn, Granino A. Advanced Dynamic-System Simulation. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118527412.

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Book chapters on the topic "Dynamic simulation of power system"

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JU, Ping. "Stochastic Dynamic Simulation of Power System." In Power Systems, 41–72. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1816-0_3.

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Khaitan, Siddhartha Kumar, and James D. McCalley. "High Performance Computing for Power System Dynamic Simulation." In Power Systems, 43–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32683-7_2.

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Meegahapola, Lasantha, and Damian Flynn. "Gas Turbine Modelling for Power System Dynamic Simulation Studies." In PowerFactory Applications for Power System Analysis, 175–95. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12958-7_8.

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Meegahapola, Lasantha, and Duane Robinson. "Dynamic Modelling, Simulation and Control of a Commercial Building Microgrid." In Smart Power Systems and Renewable Energy System Integration, 119–40. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30427-4_7.

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Pachanapan, Piyadanai. "Dynamic Modelling and Simulation of Power Electronic Converter in DIgSILENT Simulation Language (DSL): Islanding Operation of Microgrid System with Multi-energy Sources." In Power Systems, 67–93. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54124-8_3.

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Chiza, Luis, Jaime Cepeda, Jonathan Riofrio, Santiago Chamba, and Marcelo Pozo. "Dynamic Modelling and Co-simulation Between MATLAB–Simulink and DIgSILENT PowerFactory of Electric Railway Traction Systems." In Power Systems, 95–129. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54124-8_4.

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Strunz, Kai, and Feng Gao. "Computer Simulation of Scale-Bridging Transients in Power Systems." In Handbook of Electrical Power System Dynamics, 900–927. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118516072.ch15.

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Shin, Dongkun, Woonseok Kim, Jaekwon Jeon, Jihong Kim, and Sang Lyul Min. "SimDVS: An Integrated Simulation Environment for Performance Evaluation of Dynamic Voltage Scaling Algorithms." In Power-Aware Computer Systems, 141–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36612-1_10.

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Ferry, Nicolas, Sylvain Ducloyer, Nathalie Julien, and Dominique Jutel. "Energy Estimator for Weather Forecasts Dynamic Power Management of Wireless Sensor Networks." In Integrated Circuit and System Design. Power and Timing Modeling, Optimization, and Simulation, 122–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24154-3_13.

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Andras, Gacs. "Analysis and Simulation of the Dynamic Behaviour of Saturated Steam Turbines of PWR Nuclear Power Plants." In Systems Analysis and Simulation II, 286–89. New York, NY: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-8936-1_59.

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Conference papers on the topic "Dynamic simulation of power system"

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Riedel, Christian, Christian Stammen, and H. Murrenhoff. "Fundamentals of Mass Conservative System Simulation in Fluid Power." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2639.

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This article illustrates the development of a dynamic system simulation tool for fluid power on basis of mass flows. The goal is to increase the predictability and efficiency of system simulation tools in fluid power. State of the art simulation tools make use of simplified differential equations. Especially in closed systems or long-term simulations, the volume flow based approach leads to significant variations of simulation results as balancing of flow parameters and its integrations to potentials lead to a violation of the equation of continuity. However, with a mass flow and energy conservative approach we obtain a clear and physically correct model implemented in the simulation tool DSHplus. The new basis of calculation enables further implementation of thermo-hydraulic and multi-phase flow models such as cavitation or particle transport into the concentrated parametric system simulation.
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Shuangshuang Jin, Zhenyu Huang, Ruisheng Diao, Di Wu, and Yousu Chen. "Parallel implementation of power system dynamic simulation." In 2013 IEEE Power & Energy Society General Meeting. IEEE, 2013. http://dx.doi.org/10.1109/pesmg.2013.6672565.

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Larson, C. S. "Dynamic Simulation of a Power Train System." In 1988 SAE International Off-Highway and Powerplant Congress and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1988. http://dx.doi.org/10.4271/881308.

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Lerch, E., and U. Kerin. "Dynamic System Security Assessment using Inventive Simulation Techniques." In Power and Energy Systems. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.701-021.

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Maslo, Karel, and Andrew Kasembe. "Extended long term dynamic simulation of power system." In 2017 52nd International Universities Power Engineering Conference (UPEC). IEEE, 2017. http://dx.doi.org/10.1109/upec.2017.8232006.

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Tian, Jianwei, Junyong Wu, Zhaoguang Hu, and Minjie Xu. "A Dynamic Multi-agent Simulation System for Power Economy." In 2009 11th International Conference on Computer Modelling and Simulation. IEEE, 2009. http://dx.doi.org/10.1109/uksim.2009.17.

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Kim, Sog-Kyun, Pericles Pilidis, and Junfei Yin. "Gas Turbine Dynamic Simulation Using Simulink®." In Power Systems Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2000. http://dx.doi.org/10.4271/2000-01-3647.

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Pan, Wenxia, and Jianqiang Chen. "RPM-SIM based Dynamic Analysis and Frequency Control of Hybrid Wind Power System." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.802-017.

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JU, Ping, Feng WU, Qian CHEN, Jingdong HAN, Ruhui DAI, Guoyang WU, and Yong TANG. "Model Simplification of Nuclear Power Plant for Power System Dynamic Simulation." In 2018 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO). IEEE, 2018. http://dx.doi.org/10.1109/iccairo.2018.00050.

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Zhang Lei, Daozhuo Jiang, Zhang Zhenhua, and Yan Bo. "Design of dynamic simulation of wind turbine." In 2010 International Conference on Power System Technology - (POWERCON 2010). IEEE, 2010. http://dx.doi.org/10.1109/powercon.2010.5666655.

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Reports on the topic "Dynamic simulation of power system"

1

Flueck, Alex. High Fidelity, “Faster than Real-Time” Simulator for Predicting Power System Dynamic Behavior - Final Technical Report. Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1369569.

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Brady, Patrick, and Bobby Middleton. A Dynamic Simulation Technoeconomic Model for Power Generation. Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1648193.

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Klein, Steven K., Robert H. Kimpland, and Marsha M. Roybal. Dynamic System Simulation of Fissile Solution Systems. Office of Scientific and Technical Information (OSTI), April 2014. http://dx.doi.org/10.2172/1127468.

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Klein, Steven Karl, and Robert Herbert Kimpland. Dynamic System Simulation of the KRUSTY Experiment. Office of Scientific and Technical Information (OSTI), May 2016. http://dx.doi.org/10.2172/1253482.

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Klein, Steven Karl, John C. Determan, and Marsha Marilyn Roybal. Stand-Alone Dynamic System Simulation of a Fissile Solution System. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1177986.

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Ellis, Abraham, Michael Robert Behnke, and Ryan Thomas Elliott. Generic solar photovoltaic system dynamic simulation model specification. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1177082.

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Lai, Jih-Sheng. Power electronics system modeling and simulation. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/237391.

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Ernest, J. B., H. Ghezel-Ayagh, and A. K. Kush. Dynamic simulation of a direct carbonate fuel cell power plant. Office of Scientific and Technical Information (OSTI), December 1996. http://dx.doi.org/10.2172/460168.

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Klein, Steven, John Determan, Larry Dowell, and Marsha Roybal. Stand-Alone Dynamic System Simulation of Fissile Solution Systems. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1154978.

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Klein, Steven Karl, John David Bernardin, Robert Herbert Kimpland, and Dusan Spernjak. Extensions to Dynamic System Simulation of Fissile Solution Systems. Office of Scientific and Technical Information (OSTI), August 2015. http://dx.doi.org/10.2172/1212640.

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