Integration of stochastic generation in power systems

G Papaefthymiou

Integration of stochastic generation in power systems

G Papaefthymiou

Research output: Thesis › Dissertation (TU Delft)

Abstract

Stochastic Generation is the electrical power production by the use of an uncontrollable prime energy mover, corresponding mainly to renewable energy sources. For the large-scale integration of stochastic generation in power systems, methods are necessary for the modeling of power generation uncertainty. In this thesis, new tools for the uncertainty analysis of such power systems are developed.

Original language	Undefined/Unknown
Qualification	Doctor of Philosophy
Awarding Institution	Delft University of Technology
Supervisors/Advisors	van der Sluis, Lou, Supervisor
Award date	13 Jul 2007
Place of Publication	s.l.
Publisher	G. Papaefthymiou
Print ISBNs	978-90-8570-186-6
Publication status	Published - 2007

Keywords

authored books
Diss. prom. aan TU Delft

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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AB - Stochastic Generation is the electrical power production by the use of an uncontrollable prime energy mover, corresponding mainly to renewable energy sources. For the large-scale integration of stochastic generation in power systems, methods are necessary for the modeling of power generation uncertainty. In this thesis, new tools for the uncertainty analysis of such power systems are developed.

KW - authored books

KW - Diss. prom. aan TU Delft

M3 - Dissertation (TU Delft)

SN - 978-90-8570-186-6

PB - G. Papaefthymiou

CY - s.l.

ER -