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IEEE Transactions on Power Systems
Article . 2007 . Peer-reviewed
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https://doi.org/10.1109/pes.20...
Article . 2008 . Peer-reviewed
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Real-Time Transient Simulation Based on a Robust Two-Layer Network Equivalent

Authors: Nie, Xin; Chen, Yuan; Dinavahi, Venkata;

Real-Time Transient Simulation Based on a Robust Two-Layer Network Equivalent

Abstract

Real-time digital simulation of large power systems requires not only significant computational power but also simpler and accurate models. This paper proposes a new approach for transient simulation of power systems using a robust two-layer network equivalent model and an advanced PC-Cluster based parallel real-time simulator. Using a combination of well established fitting and optimization methods, the generated low-order model is of high accuracy compared to its full model over a wide frequency bandwidth. The merits of this method are its robustness in terms of stability and positive-realness, its accuracy at not only transient frequencies but also at dc and power frequency, and its optimal order determination feature. To validate the new method, a realistic large-scale power system—the Alberta Interconnected Electric System—is simulated in real-time. The real-time electromagnetic transient program is implemented in C++ language using object-oriented programming techniques on the PC Cluster. A time-step of 20 microseconds has been used for the real-time simulation. The captured oscilloscope results demonstrate excellent accuracy and efficiency of the proposed model in comparison to a full-scale off-line simulation of the original system in the ATP version of EMTP.

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Keywords

object oriented programming, power system transients, real-time systems, transmission lines, frequency domain analysis, Electromagnetic analysis

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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