An Efficient Multi-Rate Simulation Technique for Power Electronic-Based Systems

Posted by on Oct 21, 2009 in Charles Eric Lucas, Electronics, Eric A. Walters, Ning Wu, Oleg Wasynczuk, Power Systems, Publications | 0 comments

S. D. Pekarek, O. Wasynczuk, Purdue University; E. A. Walters, J. V. Jatskevich, C. E. Lucas, N. Wu, PC Krause and Associate, Inc; P. T. Lamm, U.S. Air Force Research Laboratory A novel multi-rate method of simulating power-electronic-based systems containing a wide range of time scales is presented. In this method, any suitable integration algorithm, with fixed or variable time-step, can be applied to the fast and/or slow subsystems. The subsystems exchange coupling variables at a communication interval that can be fixed or varied dynamically depending upon the state of the system variables. The proposed multi-rate method is applied to two example power systems that include power-electronic subsystems. Increases in simulation speed of 183-281% over established single-rate integration algorithms are demonstrated. IEEE Trans­actions on Power Systems, vol. 19, no. 1, February 2004, pp....

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Automated Average-Value Modeling of Power Electronic Sources and Loads

Posted by on Oct 21, 2009 in Charles Eric Lucas, Electronics, Eric A. Walters, Ning Wu, Oleg Wasynczuk, Power Systems, Publications | 0 comments

N. Wu, O. Wasynczuk, Purdue University;  E. A. Walters, C. E. Lucas, PC Krause and Associates, Inc; Peter T. Lamm, U.S. Air Force Research Laboratory Power systems that include regulated power-electronic sources and/or loads are susceptible to potentially destabilizing interactions between these components. A variety of techniques and methodologies have been developed to characterize the small- and large displacement stability of such systems. Perhaps the most common approach is to establish the input/output impedance-versus-frequency characteristics of all sources and loads, whereby Nyquist- and/or Bode-inspired criteria may be used to characterize interconnected system stability. Essential to this methodology is a means of accurately and efficiently determining the input and/or output impedance-versus-frequency characteristics of the power electronic components that comprise the overall system. These frequency-domain characteristics can be established by (1) direct measurement, (2) exercising detailed simulations, or, more commonly, (3) using state-space average-value models. The primary disadvantage of using direct measurements is that the hardware must be available a-priori which makes it difficult and/or expensive to change or tailor the impedance characteristics if instabilities occur. Calculation of the impedance characteristics from detailed simulations is generally time consuming, especially if the low-frequency characteristics are needed, and little insight is gained as to how the impedance characteristics are affected by the various design parameters. Average-value models overcome the previous disadvantages; however, they introduce a new one. In particular, the derivation of an average value models is typically time consuming, especially if the circuit topology is complex and/or the power converter exhibits multiple load-dependent modes of operation. In this paper, an automated approach of establishing average-value models of power electronic converters of arbitrary complexity is set forth. The user-supplied inputs consist of a standard Spice-like circuit description (branch parameters and network graph) whereupon the input/output impedance-versus frequency characteristics are automatically and rapidly established. In addition to eliminating the need for the analytical derivation of average-value models, this technique readily permits the inclusion of secondary effects such as conduction losses, switching losses, and magnetic nonlinearities, to name a few. This technique has been successfully applied to characterize the output impedance of a one-quadrant dc/dc buck converter and a three-phase generator/rectifier source. Proceedings 3rd International Energy Conversion Engineering Conference, August 15-18, 2005, San Francisco,...

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Ning Wu

Posted by on Oct 19, 2009 in Employees, Ning Wu | 0 comments

[gravatar email=”wu@pcka.com” class=”alignleft” size=”96″ default=”https://pcka.com/wp-content/uploads/2010/08/gravatar.jpg”]Dr. N. Wu received the Bachelor of Engineering degree from Tsinghua University, China in 2001 and the PhD from Purdue University in 2006. He is currently a Senior Engineer at PCKA where he has conducted research in the modeling and simulation of shipboard and vehicular electric/propulsion systems. . Please add more about your PCKA activities. His research interests include average-value modeling of power-electronic systems, design and modeling of finite electric systems, and distributed simulation of complex dynamic systems. Selected Publications N. Wu, O. Wasynczuk, “An Automated Average-Value Modeling Methodology for Power Electronic Sources and Loads,” SAE Transactions Journal of Aerospace, vol. 115, March 2007, pp. 846-855. N. Wu, C. Rands, C. E. Lucas, E. A. Walters, M. Hasan, D. Aliprantis, M. A. Masrur, “Distributed Heterogeneous Simulation of a Hybrid-Electric Vehicle,” 4th International Energy Conversion Engineering Conference and Exhibit , month 2006, San Diego, CA. N. Wu, C. E. Lucas, C. Rands, I. E. Simpson, D. C. Aliprantis, M. A. Masrur, “Distributed Heterogeneous Simulation of a Hybrid-Electric Vehicle Drive System Using the Simplorer Software Product,” 2006 SAE Power Systems Conference, November 7-9, 2006, New Orleans, LA. D. C. Aliprantis, O. Wasynczuk, N. Wu, C. E. Lucas, A. Masrur, “Automated Evolutionary Design of a Hybrid Electric Vehicle Power System Using Distributed Heterogeneous Optimization,” 2006 SAE Power Systems Conference, November 7-9, 2006, New Orleans,...

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Automated Evolutionary Design of a Hybrid-Electric Vehicle Power System Using Distributed Heterogeneous Optimization

Posted by on Oct 9, 2009 in Charles Eric Lucas, Distributed Heterogeneous Optimization, Ning Wu, Oleg Wasynczuk, Power Systems, Publications, Terrestrial Vehicles | 0 comments

Dionysios C. Aliprantis, O. Wasynczuk, Purdue University; N. Wu and C. E. Lucas, PC Krause and Associates, Inc; M. Abul Masrur, U.S. Army RDECOM-TARDEC The optimal design of hybrid-electric vehicle power systems poses a challenge to the system analyst, who is presented with a host of parameters to fine-tune, along with stringent performance criteria and multiple design objectives to meet. Herein, a methodology is presented to transform such a design task into a constrained multi-objective optimization problem, which is solved using a distributed evolutionary algorithm. A power system model representative of a series hybrid-electric vehicle is considered as a paradigm to support the illustration of the proposed methodology, with particular emphasis on the power system’s time-domain performance. 2006 SAE Power Systems Conference, November 7–9, 2006, New Orleans, LA. Paper #...

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Distributed Heterogeneous Simulation of a Hybrid-Electric Vehicle Drive System Using the Simplorer Software Product

Posted by on Oct 9, 2009 in Charles Eric Lucas, Distributed Heterogeneous Simulation, Ning Wu, Power Systems, Publications, Terrestrial Vehicles | 0 comments

N. Wu, C. E. Lucas, Curtis Rands, I. E. Simpson, PC Krause and Associates, Inc; Dionysios C. Aliprantis, Purdue University; M. Abul Masrur; U.S. Army RDECOM-TARDEC To support research and analysis requirements in the development of future hybrid-electric drive systems, a flexible and efficient means of predicting the dynamic performance of large-scale multi-disciplinary systems prior to hardware trials is crucial. With the development of Distributed Heterogeneous Simulation (DHS), the technology now exists to enable this type of investigation. Previously, DHS was shown to allow the interconnection of component simulations running on a single computer or networked computers and developed using any combination of a variety of commercial-off-the-shelf software packages. The US Army is interested in using the Simplorer software product from Ansoft Corporation to model various subsystems that are incorporated with such vehicle system simulations. In this paper, the DHS technique is expanded to support the Simplorer software package; thus, allowing subsystem models developed using this tool to be interconnected to form a dynamic system simulation. A representative hybrid-electric vehicle has been selected as a study system and includes propulsion, generation, weapon, and payload subsystems. Models of the components/subsystems that comprise the power system have each been developed in MATLAB/Simulink or Simplorer. Utilizing the system simulation, studies have been performed to illustrate the dynamic interactions between the subsystems when simulated on a computer network containing Windows based personal computers. 2006 SAE Power Systems Conference, November 7–9, 2006, New Orleans, LA. Paper #...

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An Automated Average-Value Modeling Methodology for Power Electronic Sources and Loads

Posted by on Oct 8, 2009 in Aircraft, Electronics, Ning Wu, Oleg Wasynczuk | 0 comments

N. Wu, O. Wasynczuk, Purdue University and PC Krause and Associates; Peter T. Lamm, U.S. Air Force Research Laboratory In this paper, an automated averaging modeling methodology is set forth applicable to power electronic converters of arbitrary complexity. The user-defined inputs consist of a circuit description similar to the SPICE netlist (network graph and branch parameters), whereupon the input/output impedance-versus-frequency characteristics are automatically and rapidly generated. In addition to eliminating the need for the analytical derivation of average-value models, this methodology readily permits the inclusion of secondary effects such as conduction losses, switching losses, and magnetic nonlinearities, to name a few. This methodology has been successfully applied to characterize the impedance of a one-quadrant dc/dc buck converter, a three-phase diode rectifier source with three different modes of operation, and a space-vector-modulated dc/ac inverter. SAE Transactions Journal of Aerospace, 2007, pp. 846-855 and 2006 SAE Power Systems Conference, November 7–9, 2006, New Orleans, LA. Paper...

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