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Geir Mathisen

Seniorforsker

Geir Mathisen

Seniorforsker

Geir Mathisen
Telefon: +47 930 59 367
E-post:
Avdeling: Mathematics and Cybernetics
Kontorsted: Trondheim

Publikasjoner og ansvarsområder

Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=1758837

This paper investigates and implements a procedure for parameter identification of salient pole synchronous machines that is based on previous knowledge about the equipment and can be used for condition monitoring, online assessment of the electrical power grid, and adaptive control. It uses a Kalma...

Forfattere Erick Fernando Alves Jonas Kristiansen Nøland Giancarlo Marafioti Geir Mathisen
År 2019
Type Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=1599822

The objective of this study is to evaluate how PV-oriented prosumers can offer flexibility to the Distribution System Operator (DSO). The different cases focus on the customer and changes on the customer side that will benefit both the customer and the distribution grid. (Actual tests of services de...

Forfattere Bernt Arild Bremdal Hanne Sæle Geir Mathisen Merkebu Zenebe Degefa
År 2018
Type Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=1563533

This investigation proposes a CPES architecture and model for engineering energy management application for smart grids. In particular, the investigation considers the implementation of the power systems state estimator (PSSE). The CPES architecture has three layers: physical, monitoring and applica...

Forfattere Seshadhri Srinivasan Øystein Hov Holhjem Giancarlo Marafioti Geir Mathisen Alessio Maffei Giovanni Palmieri Luigi Iannelli Luigi Glielmo
År 2017
Type Vitenskapelig artikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=1538026

Two Major challenges in securing reliable Optimal Power Flow (OPF) operations are: (i) fluctuations induced due to renewable generators and energy demand, and (ii) interaction and interoperability among the different entities. Addressing these issues requires handling both physical (e.g., power flow...

Forfattere Alessio Maffei Seshadhri Srinivasan Daniela Meola Giovanni Palmieri Luigi Iannelli Øystein Hov Holhjem Giancarlo Marafioti Geir Mathisen Luigi Glielmo
År 2017
Type Vitenskapelig artikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=1358918

This paper presents a new method for independent feed control in an automated sewing cell. This is important to match the corners of the parts as well as to compensate for uncertain material characteristics and variations in the length of the parts. In this method, the feed speed for the two pa...

Forfattere Johannes Schrimpf Geir Mathisen
År 2016
Type Vitenskapelig artikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=1378219

This investigation proposes a CPES architecture and model for engineering energy management application for smart grids. In particular, the investigation considers the implementation of the power systems state estimator (PSSE). The CPES architecture has three layers: physical, monitoring and applica...

Forfattere Seshadhri Srinivasan Øystein Hov Holhjem Giancarlo Marafioti Geir Mathisen Alessio Maffei Giovanni Palmieri Luigi Iannelli Luigi Glielmo
År 2016
Type Faglig foredrag
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=1317898

This paper presents an approach for a complete sewing process, including the material handling and preparation before the sewing operation as well as material handling after the finished sewing. The complete process is divided into different tasks. The tasks include localization and stacking of the ...

Forfattere Johannes Schrimpf Morten Lind Geir Mathisen
År 2015
Type Vitenskapelig artikkel
Publikasjon
https://www.sintef.no/publikasjoner/publikasjon/?pubid=1251038

This paper describes an automated sewing system that focuses on sewing of curved edge segments. The sewing cell includes an industrial sewing machine as well as three industrial robots that handle the parts during the sewing process. Based on experiences from previous work, several improvements ...

Forfattere Johannes Schrimpf Magnus Christian Bjerkeng Morten Lind Geir Mathisen
År 2015
Type Vitenskapelig artikkel