DPsim—A dynamic phasor real-time simulator for power systems

Mirz, Markus; Vogel, Steffen; Georg, Reinke; Monti, Antonello

doi:10.1016/j.softx.2019.100253

Cited by 33 publications

(21 citation statements)

References 8 publications

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“…hotpsot from the Rodinia Benchmark Suite [ 2 ] is a thermal simulation application that solves differential equations. DPsim is a real-time capable power system simulator for dynamic phasor and electromagnetic transient simulations [ 9 ]. The variety of considered applications shows our virtualization layer supports a set of CUDA features is sufficient for productive use.…”

Section: Discussionmentioning

confidence: 99%

An Open-Source Virtualization Layer for CUDA Applications

Eiling

Lankes

Monti

2021

Euro-Par 2020: Parallel Processing Workshops

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GPUs have achieved widespread adoption for High-Performance Computing and Cloud applications. However, the closed-source nature of CUDA has hindered the development of otherwise commonly used virtualization techniques. In this paper, we evaluate the feasibility of building a GPU virtualization layer that isolates the GPU and CPU parts of CUDA applications to achieve better control of the interactions between applications and the CUDA libraries. We present our open-source tool that transparently intercepts CUDA library calls and executes them in a separate process using remote procedure calls. This allows the execution of CUDA applications on machines without a GPU and provides a basis for the development of tools that require fine-grained control of the GPU resources, such as checkpoint/restore and job schedulers.

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Section: Discussionmentioning

confidence: 99%

An Open-Source Virtualization Layer for CUDA Applications

Eiling

Lankes

Monti

2021

Euro-Par 2020: Parallel Processing Workshops

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“…As result, for slowly changing dynamics, the time steps can be chosen to be significantly large (for a classical grid in the range of several millisecond); while during fast transients the time step can be reduced to keep the accuracy under control. The value of this approach can be proved with the support of some examples [84,85].…”

Section: Base-band Representation For Modelling and Simulationmentioning

confidence: 99%

Fundamentals of power systems modelling in the presence of converter-interfaced generation

Paolone

Gaunt

Guillaud

et al. 2020

Electric Power Systems Research

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154

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This survey paper discusses the fundamentals of power systems modelling in the presence of large amounts of converter-interfaced generation (CIG). By referring to real-life events characterised by anomalous dynamics associated to the presence of CIG, the concepts of narrow versus broad band signals are first recalled along with the limitation of the meaning of apparent power, power factor and reactive power. In this regard, the adequacy of the phasor representation of voltages and currents waveforms is thoroughly discussed. Then, with respect to the central subject of control of power converters, a revised definition of grid-following and grid-forming converters is provided along with a thorough discussion of their associated controls and a comprehensive classification for both classes of converters. Several applications inspired by actual case studies are included in the paper in order to provide realistic application examples.

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“…DPsim was first introduced by Mirz et al [15], which describes the main software components and demonstrates the real-time capability of the simulator for different system sizes. It integrates the VILLAS project to facilitate the exchange of simulation data in real-time taking advantage of the vast collection of protocols supported by VILLAS.…”

Section: Introductionmentioning

confidence: 99%

“…The main input format for network description is the IEC 61970 CIM XML-RDF format, which is imported by using the CIM++ project [17]. A more detailed overview of the features of DPsim can be found in [15]. The aim of DPsim is to support real-time simulation with time steps in the range from 10 µs to several ms. Due to the frequency shift applied when computing dynamic phasors, the maximum frequency of simulated signals is not limited by the simulation time step.…”

Section: Introductionmentioning

confidence: 99%

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DPsim—Advancements in Power Electronics Modelling Using Shifted Frequency Analysis and in Real-Time Simulation Capability by Parallelization

2020

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Real-time simulation is an increasingly popular tool for product development and research in power systems. However, commercial simulators are still quite exclusive due to their costs and they face problems in bridging the gap between two common types of power system simulation, conventional phasor based, and electromagnetic transient simulation. This work describes recent improvements to the open source real-time simulator DPsim to address increasingly important use cases that involve power electronics that are connected to the electrical grid and increasing grid sizes. New power electronic models have been developed and integrated into the DPsim simulator together with techniques to decouple the system solution, which facilitate parallelization. The results show that the dynamic phasors in DPsim, which result from shifted frequency analysis, allow the user to combine the characteristics of conventional phasor and electromagnetic transient simulation. Besides, simulation speed up techniques that are known from the electromagnetic domain and new techniques, specific to dynamic phasors, significantly improve the performance. It demonstrates the advantages of dynamic phasor simulation for future power systems and the applicability of this concept to large scale scenarios.

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DPsim—A dynamic phasor real-time simulator for power systems

Cited by 33 publications

References 8 publications

An Open-Source Virtualization Layer for CUDA Applications

An Open-Source Virtualization Layer for CUDA Applications

Fundamentals of power systems modelling in the presence of converter-interfaced generation

DPsim—Advancements in Power Electronics Modelling Using Shifted Frequency Analysis and in Real-Time Simulation Capability by Parallelization

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