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02869nam a22004815i 4500 |
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978-3-319-02393-9 |
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DE-He213 |
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20151103123906.0 |
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cr nn 008mamaa |
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131023s2013 gw | s |||| 0|eng d |
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|a 9783319023939
|9 978-3-319-02393-9
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|a 10.1007/978-3-319-02393-9
|2 doi
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|a TEC031000
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|a 621.042
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|a Preece, Robin.
|e author.
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|a Improving the Stability of Meshed Power Networks
|h [electronic resource] :
|b A Probabilistic Approach Using Embedded HVDC Lines /
|c by Robin Preece.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2013.
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|a XXI, 188 p. 78 illus., 52 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|a Introduction -- Power System Modelling and Analysis Techniques -- The Effects of HVDC Lines on Power System Stability -- Assessing the Robustness of Controllers -- Modal Estimation using the Probabilistic Collocation Method -- Probabilistic Tuning of Damping Controllers -- Conclusions and Future Work.
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|a The work in this thesis proposes the innovative use of modern technologies and mathematical techniques to analyse and control future power systems. It exploits new enabling technologies such as Voltage Source Converter High Voltage Direct Current (VSC-HVDC) lines, both single and multi-terminal, and Wide Area Measurement Systems (WAMS) to reduce the risks of instability associated with greater utilisation of modern power systems. New control systems for these technologies have been analysed, and subsequently designed, using advanced probabilistic analysis techniques to ensure that they are robust to the variable and turbulent conditions expected in the future. The advanced probabilistic techniques used in the thesis for both system analysis and controller design represent one of the first such applications in open literature.
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|a Energy.
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|a Energy systems.
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|a Electronic circuits.
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|a Power electronics.
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|a Energy.
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|a Energy Systems.
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|a Power Electronics, Electrical Machines and Networks.
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|a Electronic Circuits and Devices.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319023922
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|u http://dx.doi.org/10.1007/978-3-319-02393-9
|z Full Text via HEAL-Link
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|a ZDB-2-ENE
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| 950 |
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|a Energy (Springer-40367)
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