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Electric Power Systems Research
Article . 2022 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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PanSuite: A free simulation environment for the analysis of hybrid electrical power systems

Authors: Linaro, D; del Giudice, D; Bizzarri, F; Brambilla, A;

PanSuite: A free simulation environment for the analysis of hybrid electrical power systems

Abstract

In many engineering domains, complex systems are composed of several interconnected and interacting parts that are modeled and analyzed in different ways. This is the case, for instance, of modern power systems, which are commonly labeled as "hybrid "for this very reason. This heterogeneity has triggered the development of numerical tools capable of simulating the different parts making up a hybrid system. Often, however, these tools either tackle a very specific aspect of power systems analysis (e.g., power flow computation), or are composed of interacting parts that rely on heuristics for their correct functioning. In this paper we describe pan, a free simulator developed in our group combining very high numerical efficiency with a vast choice of simulation algorithms suited for power system analysis. We also introduce three recently developed open -source interfaces to pan written in the MATLAB, Python, and Julia programming languages, which greatly reduce development times and allow the user to incorporate power system analysis into extended simulation and analysis workflows. Together, these tools make up pansuite.

Related Organizations
Keywords

Hybrid system simulation, Python module, Julia module, Power system simulation, MATLAB toolbox

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selected citations
These citations are derived from selected sources.
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!
14
Top 10%
Top 10%
Top 10%
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