scholarly journals Smart Factory: From concepts to operational sustainable outcomes using test-beds

Logforum ◽  
2021 ◽  
Vol 17 (1) ◽  
pp. 7-23
Author(s):  
Subramaniam Anbuchezhian Puviyarasu ◽  
◽  
Catherine da Cunha
Keyword(s):  
Smart Factory ◽  
Test Beds

scholarly journals Performance Analysis of SDN-based Global Mobility Support Scheme in Smart Factory Networks

2019 ◽  
Vol 155 ◽  
pp. 145-152
Author(s):  
Jaehyeong Lee ◽  
Changyong Um ◽  
Guejong Jo ◽  
Dogun Park ◽  
Jongpil Jeong
Keyword(s):  
Performance Analysis ◽  
Smart Factory ◽  
Mobility Support ◽  
Global Mobility

Analysis between graph-based and Power Transfer Distribution Factors (PTDF)-based model reduction methods in Electric Power Systems

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Diego A. Monroy-Ortiz ◽  
Sergio A. Dorado-Rojas ◽  
Eduardo Mojica-Nava ◽  
Sergio Rivera
Keyword(s):  
Power Systems ◽  
Power System ◽  
Model Reduction ◽  
Electrical Power ◽  
Schur Complement ◽  
Power Transfer ◽  
Electrical Power System ◽  
Admittance Matrix ◽  
Test Beds ◽  
Power Transfer Distribution Factors

Abstract This article presents a comparison between two different methods to perform model reduction of an Electrical Power System (EPS). The first is the well-known Kron Reduction Method (KRM) that is used to remove the interior nodes (also known as internal, passive, or load nodes) of an EPS. This method computes the Schur complement of the primitive admittance matrix of an EPS to obtain a reduced model that preserves the information of the system as seen from to the generation nodes. Since the primitive admittance matrix is equivalent to the Laplacian of a graph that represents the interconnections between the nodes of an EPS, this procedure is also significant from the perspective of graph theory. On the other hand, the second procedure based on Power Transfer Distribution Factors (PTDF) uses approximations of DC power flows to define regions to be reduced within the system. In this study, both techniques were applied to obtain reduced-order models of two test beds: a 14-node IEEE system and the Colombian power system (1116 buses), in order to test scalability. In analyzing the reduction of the test beds, the characteristics of each method were classified and compiled in order to know its advantages depending on the type of application. Finally, it was found that the PTDF technique is more robust in terms of the definition of power transfer in congestion zones, while the KRM method may be more accurate.

A Smart Factory Setup based on the RoboCup Logistics League

2020 ◽  
Author(s):  
Niklas Sebastian Eltester ◽  
Alexander Ferrein ◽  
Stefan Schiffer
Keyword(s):  
Smart Factory

Von Science-Fiction zur Realität: Robotik in der Smart Factory

Digitale Welt ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 74-75
Author(s):  
Robert Frodl
Keyword(s):  
Science Fiction ◽  
Smart Factory

scholarly journals UWB Localization in a Smart Factory: Augmentation Methods and Experimental Assessment

2021 ◽  
pp. 1-1
Author(s):  
Luca Barbieri ◽  
Mattia Brambilla ◽  
Andrea Trabattoni ◽  
Stefano Mervic ◽  
Monica Nicoli
Keyword(s):  
Smart Factory ◽  
Experimental Assessment
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