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Madzharov, Nikolay D., Raycho T. Ilarionov, and Anton T. Tonchev. "System for Dynamic Inductive Power Transfer." Indian Journal of Applied Research 4, no. 7 (October 1, 2011): 173–76. http://dx.doi.org/10.15373/2249555x/july2014/52.
K, Sureshkumar, Vasanthamani S, Mariammal M, Raj S, and Vinodkumar R.L. "Power Quality Improvement Using Dynamic Voltage Restorer." Bonfring International Journal of Power Systems and Integrated Circuits 9, no. 1 (March 29, 2019): 01–04. http://dx.doi.org/10.9756/bijpsic.9002.
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.
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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KATAGIRI, Yukinori, Takuya YOSHIDA, and Tatsurou YASHIKI. "E208 AUTOMATIC CODE GENERATION SYSTEM FOR POWER PLANT DYNAMIC SIMULATORS(Power System-2)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.2 (2009): _2–401_—_2–406_. http://dx.doi.org/10.1299/jsmeicope.2009.2._2-401_.
Simulation of the gear train is an important part of the dynamic simulation of the power train of a medium speed diesel engine. In this paper, the advantages of dynamic gear wheel simulation as a part of the flexible multibody simulation of a complete power train are described. The simulation is performed using AVL EXCITE Power Unit.
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Obukhov, S. G. "DYNAMIC WIND SPEED MODEL FOR SOLVING WIND POWER PROBLEMS." Eurasian Physical Technical Journal 17, no. 1 (June 2020): 77–84. http://dx.doi.org/10.31489/2020no1/77-84.
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.
Liaw, Jim-Shih, and Theodore W. Berger. "Dynamic synapse: Harnessing the computing power of synaptic dynamics." Neurocomputing 26-27 (June 1999): 199–206. http://dx.doi.org/10.1016/s0925-2312(99)00063-6.
Felder, Frank A., and Steve R. Peterson. "Market power analysis in a dynamic electric power." Electricity Journal 10, no. 3 (April 1997): 12–19. http://dx.doi.org/10.1016/s1040-6190(97)80373-9.
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.
Hockenberry, James Richard. "Power system dynamic load modeling." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/42594.
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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Bousnane, Kafiha. "Real-time power system dynamic simulation." Thesis, Durham University, 1990. http://etheses.dur.ac.uk/6623/.
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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Song, Xuefeng. "Dynamic modeling issues for power system applications." Texas A&M University, 2003. http://hdl.handle.net/1969.1/1591.
Power system dynamics are commonly modeled by parameter dependent nonlinear differential-algebraic equations (DAE) x p y x f ) and 0 = p y x g ) . Due to
(,, (,, the algebraic constraints, we cannot directly perform integration based on the DAE. Traditionally, we use implicit function theorem to solve for fast variables y to get a reduced model in terms of slow dynamics locally around x or we compute y numerically at each x . However, it is well known that solving nonlinear algebraic equations analytically is quite difficult and numerical solution methods also face many uncertainties since nonlinear algebraic equations may have many solutions, especially around bifurcation points. In this thesis, we apply the singular perturbation method to model power system dynamics in a singularly perturbed ODE (ordinary-differential equation) form, which makes it easier to observe time responses and trace bifurcations without reduction process. The requirements of introducing the fast dynamics are investigated and the complexities in the procedures are explored. Finally, we propose PTE (Perturb and Taylors expansion) technique to carry out our goal to convert a DAE to an explicit state space form of ODE. A simplified unreduced Jacobian matrix is also introduced. A dynamic voltage stability case shows that the proposed method works well without complicating the applications.
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James, Iain B. "Dynamic characteristics of a split-power IVT." Thesis, University of Bath, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390305.
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.
Singhavilai, Thamvarit. "Identification of electric power system dynamic equivalent." Thesis, University of Strathclyde, 2011. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=15647.
Schwingshackl, Christoph Wolfgang. "Dynamic behaviour of inhomogeneous multifunctional power structures." Thesis, University of Southampton, 2006. https://eprints.soton.ac.uk/52007/.
Xia, Xiuxian. "Dynamic power distribution management for all electric aircraft." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/6285.
In recent years, with the rapid development of electric and electronic
technology, the All-Electric Aircraft (AEA) concept has attracted more and
more attention, which only utilizes the electric power instead of conventional
hydraulic and pneumatic power to supply all the airframe systems. To meet the
power requirements under various flight stages and operating conditions, the
AEA approach has resulted in the current aircraft electrical power generation
capacity up to 1.6 MW. To satisfy the power quality and stability requirements,
the advanced power electronic interfaces and more efficient power distribution
systems must be investigated. Moreover, with the purpose of taking the full
advantages of available electrical power, novel dynamic power distribution
management research and design for an AEA must be carried out.
The main objective of this thesis is to investigate and develop a methodology
of more efficient power distribution management with the purpose of
minimizing the rated power generating capacity and the mass of the electrical
power system (EPS) including the power generation system and the power
distribution system in an AEA. It is important to analyse and compare the
subsistent electrical power distribution management approaches in current
aircraft. Therefore the electrical power systems of A320 and B777, especially
the power management system, will be discussed in this thesis.
Most importantly the baseline aircraft, the Flying Crane is the outcome of the
group design project. The whole project began in March 2008, and ended in
September 2010, including three stages: conceptual design, preliminary
design and detailed design. The dynamic power distribution management
research is based on the power distribution system of the Flying Crane.
The main task of the investigation is to analyse and manage the power usage
among and inside typical airframe systems by using dynamic power
distribution management method. The characteristics and operation process of
these systems will be investigated in detail and thoroughly. By using the
method of dynamic power distribution management, all the electrical
consumers and sub-systems powered by electricity are managed effectively.
The performance of an aircraft can be improved by reducing the peak load
requirement on board. Furthermore, the electrical system architecture,
distributed power distribution system and the dynamic power distribution
management system for AEA are presented. Finally, the mass of the whole
electrical power system is estimated and analysed carefully.
Magdy, Gaber, Gaber Shabib, Adel A. Elbaset, and Yasunori Mitani. Renewable Power Systems Dynamic Security. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33455-0.
Rasgotra, Maharajakrishna. The New Asian Power Dynamic. B-42, Panchsheel Enclave, New Delhi 110 017 India: SAGE Publications India Pvt Ltd, 2007. http://dx.doi.org/10.4135/9788132101352.
L, Labus Thomas, Lovely Ronald G, and United States. National Aeronautics and Space Administration., eds. Solar dynamic power module design. [Washington, DC]: National Aeronautics and Space Administration, 1989.
Mason, Lee S. A Solar Dynamic power option for Space Solar Power. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.
Ma, J., Q. Lu, and Y. H. Song. "Dynamic Congestion Management." In Power Systems, 177–203. London: Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-3735-1_7.
Jardim, Jorge L. "Online Dynamic Security Assessment." In Power Electronics and Power Systems, 159–97. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06680-6_6.
Singh, Gaurav, and Sandeep K. Shukla. "Dynamic Power Optimizations." In Low Power Hardware Synthesis from Concurrent Action-Oriented Specifications, 83–101. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6481-6_7.
Čepin, Marko. "Dynamic Programming." In Assessment of Power System Reliability, 253–55. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-688-7_17.
Khaitan, Siddhartha Kumar, and James D. McCalley. "Dynamic Load Balancing and Scheduling for Parallel Power System Dynamic Contingency Analysis." In Power Systems, 189–209. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32683-7_6.
Benini, Luca, and Giovanni De Micheli. "Introduction." In Dynamic Power Management, 1–39. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5455-4_1.
Benini, Luca, and Giovanni De Micheli. "Background." In Dynamic Power Management, 41–63. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5455-4_2.
Тези доповідей конференцій з теми "Power dynamic":
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Baumgarten, Erik, and Steven J. Silverman. "Dynamic DoDAF power tools." In MILCOM 2008 - 2008 IEEE Military Communications Conference (MILCOM). IEEE, 2008. http://dx.doi.org/10.1109/milcom.2008.4753127.
Zhenfei Tang. "Power market dynamic analysis." In APSCOM 2000 - 5th International Conference on Advances in Power System Control, Operation and Management. IEE, 2000. http://dx.doi.org/10.1049/cp:20000441.
Fedorová, Kristína, Tereza Ábelová, and Michal Kvasnica. "Dynamic Power Purchase Agreement." In 2023 24th International Conference on Process Control (PC). IEEE, 2023. http://dx.doi.org/10.1109/pc58330.2023.10217697.
Kishan, V. Krishna, P. Pawan Puthra, and K. Narender Reddy. "Paralleling of inverters with dynamic load sharing." In 2016 IEEE 7th Power India International Conference (PIICON). IEEE, 2016. http://dx.doi.org/10.1109/poweri.2016.8077429.
Zhuo, Jianli, Chaitali Chakrabarti, Kyungsoo Lee, and Naehyuck Chang. "Dynamic power management with hybrid power sources." In the 44th annual conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1278480.1278695.
Chai, Shan, Xianyue Gang, Yigang Sun, and Ensun Yu. "A Dynamic Analysis for the Loose Lashing Wire Grouped Blade." In ASME 2005 Power Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pwr2005-50162.
The loose lashing wire grouped blade, all blades of which are linked by a loose lashing wire, is a kind of damped blade. The linear analysis method cannot be used for the dynamic analysis of loose lashing wire grouped blade because of the contact between loose lashing wire and blades. A non-linear dynamic analysis method is advanced and an application of the method to a kind of loose lashing wire grouped blade is shown in this paper. First, the nonlinear transient dynamic analysis and maximum entropy spectrum analysis methods for loose lashing wire grouped blade are studied. Then, an algorithm to calculate the dynamical stress of loose lashing wire grouped blade with transient dynamical analysis method is proposed. The proposed method provides a useful numerical calculating method for the calculation of dynamical frequency and dynamical stress of loose lashing wire grouped blades.
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Feng, X., Z. Lubosny, and J. W. Bialek. "Identification based Dynamic Equivalencing." In 2007 IEEE Power Tech. IEEE, 2007. http://dx.doi.org/10.1109/pct.2007.4538328.
Xiros, Nikolaos I., Michael M. Bernitsas, Hai Sun, Ralph Saxton, and Juliette W. Ioup. "Dynamic Modeling of Flow Induced Vibration Power-Plants." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-78163.
Based on experimental data from the Marine Renewable Energy Laboratory (MRELab) at the University of Michigan, a data model is developed in order to permit dynamical analysis and controller synthesis for power-plants based on Vortex Induced Vibrations (VIV) for power generation and energy production. For the particular experimental settings used at the MRELab, data series of various kinematic, dynamic and energetic variables were recorded through the use of one to two cylinders as bluff bodies in a cross-flow. In the present research, these data series are analyzed in order to produce a dynamical model in an appropriate phase space. The process of model derivation is entirely data-driven in the sense that the number of degrees of freedom, or state variables, reflects the dimension of the phase space for the process. The outcome is a model which allows the identification of regime-dependent features such as attractors, basins of attraction, separatrices, etc., which can occur in the basic system dynamics.
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Novac, B. M. "Fast pulse dynamic transformer." In IEE Symposium Pulsed Power 2000. IEE, 2000. http://dx.doi.org/10.1049/ic:20000296.
Groves, Taylor, and Ryan Grant. Power Aware Dynamic Provisioning of HPC Networks. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1331496.
Johnson, G., W. Determan, and W. Otting. NASA low power DIPS [Dynamic Isotope Power System] conceptual design requirements document. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/721000.
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.
Hill, Rachael, and Johanna Oxstrand. Dynamic Instructions for Nuclear Power Plant Field Workers. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/2315030.
Zhou, Ning, Zhenyu Huang, Da Meng, Stephen T. Elbert, Shaobu Wang, and Ruisheng Diao. Capturing Dynamics in the Power Grid: Formulation of Dynamic State Estimation through Data Assimilation. Office of Scientific and Technical Information (OSTI), March 2014. http://dx.doi.org/10.2172/1172467.
Silva, Catia, Ricardo Bessa, Erika Pequeno, Sumaili Jean, Miranda Vladimiro, Zhi Zhou, and Audun Botterud. Dynamic Factor Graphs - A New Wind Power Forecasting Approach. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1165671.
Singh, Mohit, and Surya Santoso. Dynamic Models for Wind Turbines and Wind Power Plants. Office of Scientific and Technical Information (OSTI), October 2011. http://dx.doi.org/10.2172/1028524.
Holmberg, David. Impact of Dynamic Prices on Distribution Grid Power Quality. Gaithersburg, MD: National Institute of Standards and Technology, 2023. http://dx.doi.org/10.6028/nist.tn.2261.
Battaglini, Marco, and Thomas Palfrey. Dynamic Collective Action and the Power of Large Numbers. Cambridge, MA: National Bureau of Economic Research, May 2024. http://dx.doi.org/10.3386/w32473.
Mock, Raymond Cecil, Thomas J. Nash, and Thomas W. L. Sanford. Current scaling of axially radiated power in dynamic hohlraums and dynamic hohlraum load design for ZR. Office of Scientific and Technical Information (OSTI), March 2007. http://dx.doi.org/10.2172/901969.
