Power System Operation with Large Scale Stochastic Wind Power Integration
Interval Arithmetic Based Analysis and Optimization Methods
(Sprache: Englisch)
This book addresses the uncertainties of wind power modeled as interval numbers and assesses the physical modeling and methods for interval power flow, interval economic dispatch and interval robust economic dispatch. In particular, the optimization models...
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Klappentext zu „Power System Operation with Large Scale Stochastic Wind Power Integration “
This book addresses the uncertainties of wind power modeled as interval numbers and assesses the physical modeling and methods for interval power flow, interval economic dispatch and interval robust economic dispatch. In particular, the optimization models are set up to address these topics and the state-of-the-art methods are employed to efficiently solve the proposed models. Several standard IEEE test systems as well as real-world large-scale Polish power systems have been tested to verify the effectiveness of the proposed models and methods. These methods can be further applied to other research fields that are involved with uncertainty.
Inhaltsverzeichnis zu „Power System Operation with Large Scale Stochastic Wind Power Integration “
Introduction.- Mathematics for Interval Algebra and Optimization.- The Research and Application of Interval Power Flow.- Interval Economic Dispatch and The Tackling of Infeasible Model.- Robust Interval Economic Dispatch and The Price of Robustness.- Acceleration Strategies for Large-scale Economic Dispatch Models.- Conclusions and Prospects.
Autoren-Porträt von Tao Ding
Research Area: Power System Operations, Power System Economics, Electricity Market, Optimization Research
Honors:
Outstanding Graduate Awards from Southeast University in 2009
College Outstanding Undergraduate Thesis of Southeast University in 2009
Outstanding Student Awards in 2010College Innovation Awards in 2010
Bibliographische Angaben
- Autor: Tao Ding
- 2016, 1st ed. 2017, XVII, 217 Seiten, 64 farbige Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 9811025606
- ISBN-13: 9789811025600
- Erscheinungsdatum: 26.09.2016
Sprache:
Englisch
Pressezitat
"Power System Operation with Large Scale Stochastic Wind Power Integration ... is very interesting for scientists, researchers (namely in applied mathematics), policy-makers, managers and entrepreneurs owing to the scientifically rigorous and very well sustained way the renewal energies uncertainty problem is approached." (Manuel Alberto M. Ferreira, Acta Scientiae et Intellectus, Vol. 4 (3), 2018)
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