Morten Lind

Morten Lind

Professor Emeritus, Senior Researcher

DTU ELECTRICAL ENGINEERING
Department of Electrical Engineering

Technical University of Denmark

Elektrovej

Building 326, room x

2800 Kgs. Lyngby

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2017
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Barrier Identification by Functional Modeling of a Nuclear Power System

Wu, Jing ; Lind, Morten ; Zhang, Xinxin ; Karnati, Pardhasaradhi
part of: Proceedings of International Symposium on Future Instrumentation and Control for Nuclear Power Plants, 2017
Presented at:
2017 International Symposium on Future Instrumentation and Control for Nuclear Power Plants

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2017

  PDF

Identifying Causality from Alarm Observations

Kirchhübel, Denis ; Zhang, Xinxin ; Lind, Morten ; Ravn, Ole
Presented at:
International Symposium on Future Instrumentation & Control for Nuclear Power Plants

Type: Paper (Peer reviewed)

Status: Published     |    Year: 2017

  PDF

Modelling and Validating a Deoiling Hydrocyclone for Fault Diagnosis using Multilevel Flow Modeling

Nielsen, Emil Krabbe ; Bram, Mads Valentin ; Frutiger, Jerome ; Sin, Gürkan ; Lind, Morten
Presented at:
International Symposium on Future Instrumentation & Control for Nuclear Power Plants

Type: Paper (Peer reviewed)

Status: Published     |    Year: 2017

 

Reasoning about Cause-effect through Control Functions in Multilevel Flow Modelling

Zhang, Xinxin ; Lind, Morten
part of: 2017 International Symposium on Future Instrumentation and Control for Nuclear Power Plants, 2018
Presented at:
2017 International Symposium on Future Instrumentation and Control for Nuclear Power Plants

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2017

  PDF

Representing Operational Modes for Situation Awareness

Kirchhübel, Denis ; Lind, Morten ; Ravn, Ole
in: Journal of Physics: Conference Series (Online), vol: 783
Presented at:
13th European Workshop on Advanced Control and Diagnosis

Type: Conference article (Peer reviewed)

Status: Published     |    Year: 2017     |    DOI: https://doi.org/10.1088/1742-6596/783/1/012055

 

Using MFM methodology to generate and define major accident scenarios for quantitative risk assessment studies

Hua, Xinsheng ; Wu, Zongzhi ; Lind, Morten ; Wu, Jing ; Zhang, Xinxin ; Frutiger, Jerome ; Sin, Gürkan
part of: Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27), pages: 589-594, 2017, Elsevier
Presented at:
27th European Symposium on Computer Aided Process Engineering

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2017     |    DOI: https://doi.org/10.1016/B978-0-444-63965-3.50100-8

2016
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Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects

Hu, Junjie ; Morais, Hugo ; Sousa, Tiago ; Lind, Morten
in: Renewable & Sustainable Energy Reviews, vol: 56, pages: 1207–1226

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2016     |    DOI: https://doi.org/10.1016/j.rser.2015.12.014

 

Multi-agent based modeling for electric vehicle integration in a distribution network operation

Hu, Junjie ; Morais, Hugo ; Lind, Morten ; Bindner, Henrik W.
in: Electric Power Systems Research, vol: 136, pages: 341-351

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2016     |    DOI: https://doi.org/10.1016/j.epsr.2016.03.014

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Preventing Distribution Grid Congestion by Integrating Indirect Control in a Hierarchical Electric Vehicles Management System

Hu, Junjie ; Si, Chengyong ; Lind, Morten ; Yu, Rongshan
in: I E E E Transactions on Transportation Electrification, vol: 2, issue: 3, pages: 290-299

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2016     |    DOI: https://doi.org/10.1109/TTE.2016.2554469

2015
 

A multi-agent system for distribution grid congestion management with electric vehicles

Hu, Junjie ; Saleem, Arshad ; You, Shi ; Nordström, Lars ; Lind, Morten ; Østergaard, Jacob
in: Engineering Applications of Artificial Intelligence, vol: 38, pages: 45-58

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2015     |    DOI: https://doi.org/10.1016/j.engappai.2014.10.017