Academic literature on the topic 'PHIL simulation'
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Journal articles on the topic "PHIL simulation"
Guo, Baoling, Amgad Mohamed, Seddik Bacha, Mazen Alamir, Cédric Boudinet, and Julien Pouget. "Reduced-Scale Models of Variable Speed Hydro-Electric Plants for Power Hardware-in-the-Loop Real-Time Simulations." Energies 13, no. 21 (November 3, 2020): 5764. http://dx.doi.org/10.3390/en13215764.
Full textIhrens, Jana, Stefan Möws, Lennard Wilkening, Thorsten A. Kern, and Christian Becker. "The Impact of Time Delays for Power Hardware-in-the-Loop Investigations." Energies 14, no. 11 (May 28, 2021): 3154. http://dx.doi.org/10.3390/en14113154.
Full textGuillo-Sansano, Efren, Mazheruddin H. Syed, Andrew J. Roscoe, and Graeme M. Burt. "Initialization and Synchronization of Power Hardware-In-The-Loop Simulations: A Great Britain Network Case Study." Energies 11, no. 5 (April 28, 2018): 1087. http://dx.doi.org/10.3390/en11051087.
Full textKotsampopoulos, Panos C., Vasilis A. Kleftakis, and Nikos D. Hatziargyriou. "Laboratory Education of Modern Power Systems Using PHIL Simulation." IEEE Transactions on Power Systems 32, no. 5 (September 2017): 3992–4001. http://dx.doi.org/10.1109/tpwrs.2016.2633201.
Full textKikusato, Hiroshi, Taha Selim Ustun, Masaichi Suzuki, Shuichi Sugahara, Jun Hashimoto, Kenji Otani, Kenji Shirakawa, Rina Yabuki, Ken Watanabe, and Tatsuaki Shimizu. "Microgrid Controller Testing Using Power Hardware-in-the-Loop." Energies 13, no. 8 (April 20, 2020): 2044. http://dx.doi.org/10.3390/en13082044.
Full textTrigui, R., B. Jeanneret, B. Malaquin, and C. Plasse. "Performance Comparison of Three Storage Systems for Mild HEVs Using PHIL Simulation." IEEE Transactions on Vehicular Technology 58, no. 8 (October 2009): 3959–69. http://dx.doi.org/10.1109/tvt.2009.2028146.
Full textMuhammad, Moiz, Holger Behrends, Stefan Geißendörfer, Karsten von Maydell, and Carsten Agert. "Power Hardware-in-the-Loop: Response of Power Components in Real-Time Grid Simulation Environment." Energies 14, no. 3 (January 25, 2021): 593. http://dx.doi.org/10.3390/en14030593.
Full textKAWASAKI, KYOZI, and TOHRU OKUZONO. "SELF-ORGANIZED CRITICAL BEHAVIOR OF TWO-DIMENSIONAL FOAMS." Fractals 04, no. 03 (September 1996): 339–48. http://dx.doi.org/10.1142/s0218348x96000455.
Full textArvan, Marcus. "A Unified Explanation of Quantum Phenomena? The Case for the Peer-to-Peer Simulation Hypothesis as an Interdisciplinary Research Program." Philosophical Forum 45, no. 4 (October 21, 2014): 433–46. http://dx.doi.org/10.1111/phil.12043.
Full textKotsampopoulos, Panos, Pavlos Georgilakis, Dimitris T. Lagos, Vasilis Kleftakis, and Nikos Hatziargyriou. "FACTS Providing Grid Services: Applications and Testing." Energies 12, no. 13 (July 3, 2019): 2554. http://dx.doi.org/10.3390/en12132554.
Full textDissertations / Theses on the topic "PHIL simulation"
Chalupa, Jan. "Návrh zařízení pro Power HIL simulaci stejnosměrného motoru." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231138.
Full textSalha, Fouad. "Microréseaux îlotables : étude et coordination des protections des générateurs et du réseau." Phd thesis, Ecole Centrale de Lille, 2010. http://tel.archives-ouvertes.fr/tel-00865077.
Full textNoon, John Patrick. "Development of a Power Hardware-in-the-Loop Test Bench for Electric Machine and Drive Emulation." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/101498.
Full textMaster of Science
According to the International Energy Agency (IEA), electric power usage is increasing across all sectors, and particularly in the transportation sector [1]. This increase is apparent in one's daily life through the increase of electric vehicles on the road. Power electronics convert electricity in one form to electricity in another form. This conversion of power is playing an increasingly important role in society because examples of this conversion include converting the dc voltage of a battery to ac voltage in an electric car or the conversion of the ac power grid to dc to power a laptop. Additionally, even within an electric car, power converters transform the battery's electric power from a higher dc voltage into lower voltage dc power to supply the entertainment system and into ac power to drive the car's motor. The electrification of the transportation sector is leading to an increase in the amount of electric energy that is being consumed and processed through power electronics. As was illustrated in the previous examples of electric cars, the application of power electronics is very wide and thus requires different testbenches for the many different applications. While some industries are used to power electronics and testing converters, transportation electrification is increasing the number of companies and industries that are using power electronics and electric machines. As industry is shifting towards these new technologies, it is a prime opportunity to change the way that high power testing is done for electric machines and power converters. Traditional testing methods are potentially dangerous and lack the flexibility that is required to test a wide variety of machines and drives. Power hardware-in-the-loop (PHIL) testing presents a safe and adaptable solution to high power testing of electric machines. Traditionally, electric machines were primarily used in heavy industry such as milling, processing, and pumping applications. These applications, and other applications such as an electric motor in a car or plane are called motor drive systems. Regardless of the particular application of the motor drive system, there are generally three parts: a dc source, an inverter, and the electric machine. In most applications, other than cars which have a dc battery, the dc source is a power electronic converter called a rectifier which converts ac electricity from the grid to dc for the motor drive. Next, the motor drive converts the dc electricity from the first stage to a controlled ac output to drive the electric machine. Finally, the electric machine itself is the final piece of the electrical system and converts the electrical energy to mechanical energy which can drive a fan, belt, or axle. The fact that this motor drive system can be generalized and applied to a wide range of applications makes its study particularly interesting. PHIL simplifies testing of these motor drive systems by allowing the inverter to connect directly to a machine emulator which is able to replicate a variety of loads. Furthermore, this work demonstrates the capability of PHIL to emulate both the induction machine load as well as the dc source by considering several rectifier topologies without any significant adjustments from the machine emulation platform. This thesis demonstrates the capabilities of the EGSTON Power Electronics GmbH COMPISO System Unit to emulate motor drive systems to allow for safer, more flexible motor drive system testing. The main goal of this thesis is to demonstrate an accurate PHIL emulation of a induction machine and to provide validation of the emulation results through comparison with an induction machine.
Schweitzer, Pierre. "Simulations parallèles de Monte Carlo appliquées à la Physique des Hautes Energies pour plates-formes manycore et multicore : mise au point, optimisation, reproductibilité." Thesis, Clermont-Ferrand 2, 2015. http://www.theses.fr/2015CLF22605/document.
Full textDuring this thesis, we focused on High Performance Computing, specifically on Monte Carlo simulations applied to High Energy Physics. We worked on simulations dedicated to the propagation of particles through matter. Monte Carlo simulations require significant CPU time and memory footprint. Our first Monte Carlo simulation was taking more time to simulate the physical phenomenon than the said phenomenon required to happen in the experimental conditions. It raised a real performance issue. The minimal technical aim of the thesis was to have a simulation requiring as much time as the real observed phenomenon. Our maximal target was to have a much faster simulation. Indeed, these simulations are critical to asses our correct understanding of what is observed during experimentation. The more we have simulated statistics samples, the better are our results. This initial state of our simulation was allowing numerous perspectives regarding optimisation, and high performance computing. Furthermore, in our case, increasing the performance of the simulation was pointless if it was at the cost of losing results reproducibility. The numerical reproducibility of the simulation was then an aspect we had to take into account. In this manuscript, after a state of the art about profiling, optimisation and reproducibility, we proposed several strategies to gain more performance in our simulations. In each case, all the proposed optimisations followed a profiling step. One never optimises without having profiled first. Then, we looked at the design of a parallel profiler using aspect-oriented programming for our specific needs. Finally, we took a new look at the issues raised by our Monte Carlo simulations: instead of optimising existing simulations, we proposed methods for developing a new simulation from scratch, having in mind it is for High Performance Computing and it has to be statistically sound, reproducible and scalable. In all our proposals, we looked at both multicore and manycore architectures from Intel to benchmark the performance on server-oriented architecture and High Performance Computing oriented architecture. Through the implementation of our proposals, we were able to optimise one of the Monte Carlo simulations, permitting us to achieve a 400X speedup, once optimised and parallelised on a computing node with 32 physical cores. We were also able to implement a profiler with aspects, able to deal with the parallelism of its computer and of the application it profiles. Moreover, because it relies on aspects, it is portable and not tied to any specific architecture. Finally, we implemented the simulation designed to be reproducible, scalable and to have statistically sound results. We observed that these goals could be achieved, whatever the target architecture for execution. This enabled us to assess our method for validating the numerical reproducibility of a simulation
Vrbenský, Andrej. "Paralelizace ultrazvukových simulací pomocí akcelerátoru Intel Xeon Phi." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-264950.
Full textPhadke, Nandan Neelkanth. "OPTIMIZATIONS ON FINITE THREE DIMENSIONAL LARGE EDDY SIMULATIONS." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1431084092.
Full textChen, Chong. "Acceleration of Computer Based Simulation, Image Processing, and Data Analysis Using Computer Clusters with Heterogeneous Accelerators." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton148036732102682.
Full textObrtáč, Tomáš. "Návrh komplexního HIL simulátoru pátých dveří automobilu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-402544.
Full textLambert, Jason. "Parallélisation de simulations interactives de champs ultrasonores pour le contrôle non destructif." Thesis, Paris 11, 2015. http://www.theses.fr/2015PA112125/document.
Full textThe Non Destructive Testing field increasingly uses simulation.It is used at every step of the whole control process of an industrial part, from speeding up control development to helping experts understand results. During this thesis, a simulation tool dedicated to the fast computation of an ultrasonic field radiated by a phase array probe in an isotropic specimen has been developped. Its performance enables an interactive usage. To benefit from the commonly available parallel architectures, a regular model (aimed at removing divergent branching) derived from the generic CIVA model has been developped. First, a reference implementation was developped to validate this model against CIVA results, and to analyze its performance behaviour before optimization. The resulting code has been optimized for three kinds of parallel architectures commonly available in workstations: general purpose processors (GPP), manycore coprocessors (Intel MIC) and graphics processing units (nVidia GPU). On the GPP and the MIC, the algorithm was reorganized and implemented to benefit from both parallelism levels, multhreading and vector instructions. On the GPU, the multiple steps of field computing have been divided in multiple successive CUDA kernels.Moreover, libraries dedicated to each architecture were used to speedup Fast Fourier Transforms, Intel MKL on GPP and MIC and nVidia cuFFT on GPU. Performance and hardware adequation of the produced algorithms were thoroughly studied for each architecture. On multiple realistic control configurations, interactive performance was reached. Perspectives to adress more complex configurations were drawn. Finally, the integration and the industrialization of this code in the commercial NDT plateform CIVA is discussed
Wen, Wei. "Simulation of large deformation response of polycrystals, deforming by slip and twinning, using the viscoplastic Ø-model." Phd thesis, Université de Strasbourg, 2013. http://tel.archives-ouvertes.fr/tel-00959709.
Full textBook chapters on the topic "PHIL simulation"
Vázquez, Mariano, Guillaume Houzeaux, Félix Rubio, and Christian Simarro. "Alya Multiphysics Simulations on Intel’s Xeon Phi Accelerators." In Communications in Computer and Information Science, 248–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45483-1_18.
Full textArvin, Farshad, Tomáš Krajník, and Ali Emre Turgut. "P $$\mathrm {\Phi }$$ SS: An Open-Source Experimental Setup for Real-World Implementation of Swarm Robotic Systems in Long-Term Scenarios." In Modelling and Simulation for Autonomous Systems, 351–64. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14984-0_26.
Full textPapadimitriou, Michail, Joris Cramwinckel, and Ana Lucia Varbanescu. "Speed-Up Computational Finance Simulations with OpenCL on Intel Xeon Phi." In Euro-Par 2016: Parallel Processing Workshops, 199–208. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58943-5_16.
Full textTobin, Josh, Alexander Breuer, Alexander Heinecke, Charles Yount, and Yifeng Cui. "Accelerating Seismic Simulations Using the Intel Xeon Phi Knights Landing Processor." In Lecture Notes in Computer Science, 139–57. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58667-0_8.
Full textTchipev, Nikola, Amer Wafai, Colin W. Glass, Wolfgang Eckhardt, Alexander Heinecke, Hans-Joachim Bungartz, and Philipp Neumann. "Optimized Force Calculation in Molecular Dynamics Simulations for the Intel Xeon Phi." In Euro-Par 2015: Parallel Processing Workshops, 774–85. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27308-2_62.
Full textHeinecke, Alexander, Alexander Breuer, Michael Bader, and Pradeep Dubey. "High Order Seismic Simulations on the Intel Xeon Phi Processor (Knights Landing)." In Lecture Notes in Computer Science, 343–62. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41321-1_18.
Full textCazzaniga, P., F. Ferrara, M. S. Nobile, D. Besozzi, and G. Mauri. "Parallelizing Biochemical Stochastic Simulations: A Comparison of GPUs and Intel Xeon Phi Processors." In Lecture Notes in Computer Science, 363–74. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21909-7_36.
Full textVaverka, Filip, Bradley E. Treeby, and Jiri Jaros. "Performance Evaluation of Pseudospectral Ultrasound Simulations on a Cluster of Xeon Phi Accelerators." In Lecture Notes in Computer Science, 99–115. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67077-1_6.
Full textVaverka, Filip, Bradley E. Treeby, and Jiri Jaros. "Evaluation of the Suitability of Intel Xeon Phi Clusters for the Simulation of Ultrasound Wave Propagation Using Pseudospectral Methods." In Lecture Notes in Computer Science, 577–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22744-9_45.
Full textBylaska, Eric J., Mathias Jacquelin, Wibe A. de Jong, Jeff R. Hammond, and Michael Klemm. "Performance Evaluation of NWChem Ab-Initio Molecular Dynamics (AIMD) Simulations on the Intel® Xeon Phi™ Processor." In Lecture Notes in Computer Science, 404–18. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67630-2_30.
Full textConference papers on the topic "PHIL simulation"
Dargahi, Mahdi, Arindam Ghosh, and Gerard Ledwich. "Stability synthesis of power hardware-in-the-loop (PHIL) simulation." In 2014 IEEE Power & Energy Society General Meeting. IEEE, 2014. http://dx.doi.org/10.1109/pesgm.2014.6939021.
Full textFlorescu, Adrian, Seddik Bacha, Axel Rumeau, Iulian Munteanu, and Antoneta Iuliana Bratcu. "PHIL simulation for validating power management strategies in all-electric vehicles." In 2013 15th European Conference on Power Electronics and Applications (EPE). IEEE, 2013. http://dx.doi.org/10.1109/epe.2013.6634712.
Full textBompard, Ettore, Sergio Bruno, Stefano Frittoli, Giovanni Giannoccaro, Massimo La Scala, Andrea Mazza, Enrico Pons, and Carmine Rodio. "Remote PHIL Distributed Co-Simulation Lab for TSO-DSO-Customer Coordination Studies." In 2020 AEIT International Annual Conference (AEIT). IEEE, 2020. http://dx.doi.org/10.23919/aeit50178.2020.9241104.
Full textDargahi, Mahdi, Arindam Ghosh, Gerard Ledwich, and Firuz Zare. "Studies in power hardware in the loop (PHIL) simulation using real-time digital simulator (RTDS)." In 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2012. http://dx.doi.org/10.1109/pedes.2012.6484500.
Full textRuhe, Stephan, Max Fechner, Steffen Nicolai, and Peter Bretschneider. "Simulation of Coupled Components within Power-Hardware-in-the-Loop (PHiL) Test Bench." In 2020 55th International Universities Power Engineering Conference (UPEC). IEEE, 2020. http://dx.doi.org/10.1109/upec49904.2020.9209844.
Full textGuillo-Sansano, E., A. J. Roscoe, and G. M. Burt. "Harmonic-by-harmonic time delay compensation method for PHIL simulation of low impedance power systems." In 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST). IEEE, 2015. http://dx.doi.org/10.1109/sedst.2015.7315271.
Full textLundstrom, Blake, Barry Mather, Mariko Shirazi, and Michael Coddington. "Implementation and validation of advanced unintentional islanding testing using power hardware-in-the-loop (PHIL) simulation." In 2013 IEEE 39th Photovoltaic Specialists Conference (PVSC). IEEE, 2013. http://dx.doi.org/10.1109/pvsc.2013.6745123.
Full textSarwar, Muhammad, Muhammad Abubakar, Mishal Mahmood, Mariam Azam, Khair-un-Nisa Fatima, and Babar Hussain. "Design and Implementation of an Automatic Synchronizing and Protection Relay through Power-Hardware-in-the-Loop (PHIL) Simulation." In 2019 15th International Conference on Emerging Technologies (ICET). IEEE, 2019. http://dx.doi.org/10.1109/icet48972.2019.8994393.
Full textSen, Surojit, Paul L. Evans, and C. Mark Johnson. "Multi-Frequency Averaging (MFA) Model of Electric-Hybrid Powertrain Suitable for Variable Frequency Operation Applied in Geographically-Distributed Power Hardware-in-the-Loop (GD-PHiL) Simulation." In 2018 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2018. http://dx.doi.org/10.1109/vppc.2018.8604967.
Full textMathur, Kapil, Sandeep Agrawal, Shraddha Desai, Deepti Malav, C. V. Deepu, and Goldi Misra. "Intel Xeon Phi: Various HPC aspects." In 2013 International Conference on High Performance Computing & Simulation (HPCS). IEEE, 2013. http://dx.doi.org/10.1109/hpcsim.2013.6641495.
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