Cantitate/Preț
Produs
Total produse
Vezi coșul
Improving the Stability of Meshed Power Networks: A Probabilistic Approach Using Embedded HVDC Lines de Robin Preece

Improving the Stability of Meshed Power Networks: A Probabilistic Approach Using Embedded HVDC Lines: Springer Theses

Autor Robin Preece
en Limba Engleză Hardback – 11 noi 2013
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 63630 lei  6-8 săpt.
  Springer International Publishing – 23 aug 2016 63630 lei  6-8 săpt.
Hardback (1) 64251 lei  6-8 săpt.
  Springer International Publishing – 11 noi 2013 64251 lei  6-8 săpt.

Din seria Springer Theses

Preț: 64251 lei

Preț vechi: 75588 lei
-15% Nou

Puncte Express: 964
Preț estimativ în valută:
12298€ • 12790$ • 10305£

Carte tipărită la comandă

Livrare economică 13-27 martie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319023922
ISBN-10: 3319023926
Pagini: 224
Ilustrații: XXI, 188 p. 78 illus., 52 illus. in color.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.48 kg
Ediția:2013
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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.

Notă biografică

Robin Preece was awarded his First Class BEng with Honours in Electrical and Electronic Engineering with Industrial Experience from the University of Manchester in 2009, graduating with the highest marks in the School and receiving the Outstanding Academic Achievement Award and the University IET Prize. He was also awarded the Basil Papadias High Quality Paper Award for submission of an outstanding student paper at the IEEE PowerTech 2011 Conference in Trondheim, Norway, and he is recognised as the top PhD graduate from the School of Electrical and Electronic Engineering in 2012/13. To date, he has published eleven international research papers – four in the leading journals in the field and seven at international conferences where he has appeared in an invited session.
.

Textul de pe ultima copertă

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.

Caracteristici

Nominated for Springer Thesis by the University of Manchester Proposes the innovative use of modern technologies and mathematical techniques to analyze and control future power systems Represents one of the first such applications in open literature Includes supplementary material: sn.pub/extras