2011 IEEE Electric Ship Technologies Symposium 2011
DOI: 10.1109/ests.2011.5770850
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Development of a multicore power system simulator for ship systems

Abstract: Abstract-An important impediment to using widely available software to simulate the behavior of advanced power systems for electric ships is that the simulation time is too long to be practical. Consequently, the Center for Electromechanics at the University of Texas at Austin (UT-CEM) is developing a multicore power system solver to simulate large shipboard power systems. In its first year of development, the focus is on testing CEM's solver (CEMS) for accuracy. This paper presents an overview of the major tr… Show more

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Cited by 8 publications
(6 citation statements)
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“…This type of modeling is being conducted in much more complex ship power system architectures for which conventional computation times can be excessive. As a result, an automated partitioning and multirate approaches have been developed to permit significantly faster computations [20][21][22].…”
Section: Ship Bus Loadsmentioning
confidence: 99%
“…This type of modeling is being conducted in much more complex ship power system architectures for which conventional computation times can be excessive. As a result, an automated partitioning and multirate approaches have been developed to permit significantly faster computations [20][21][22].…”
Section: Ship Bus Loadsmentioning
confidence: 99%
“…The required computational effort has always been a challenge in simulating those systems. The computational effort in power system simulation is due to the single matrix formulation, system order, complex switching models, integration step size, and so on [24]. Different techniques have been tested to deal with the computational complexity, such as the proper utilization of computer hardware and more efficient computation.…”
mentioning
confidence: 99%
“…While this simulation technique assesses many metrics from a single simulation run, it is also the most computationally intense. This has commonly limited practice of this simulation technique to short time spans, reduced-order models [65], or average-value models [66]; however, due to the wealth of information arising from this simulation type, it is an important simulation technique and commonly used after steady-state assessments have been made [67].…”
Section: Simulation: Part I-offline Simulation Typesmentioning
confidence: 99%