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Renewable sources in electricity markets
Details
The operation of Renewable Energy Sources (RES) units, such as wind or solar plants, is intrinsically dependent on the variability of the wind or solar resource. This makes large scale integration of RES into power systems particularly challenging. The research work in the frame of this Ph.D. thesis proposes a generic model and an evaluation of different methods for the management of imbalance penalties related to the participation of balance responsible renewable power producers in short-term electricity markets. First, the thesis gives a classification of the existing solutions for the management of these imbalance penalties. A distinction is made between the physical solutions, related to the generation portfolio, and the financial solutions, based on market products. The physical solutions are considered in the frame of a Virtual Power Plant. Then, the decision-making problem relative to both physical and financial solutions is formulated as an optimization problem under uncertainty. Finally, the uncertainty related to the RES production is considered in a risk-based decision making process. The methods are illustrated using case studies based on real world data.
Autorentext
Franck Bourry was born in Poitiers, France. He received his engineering and M.Sc. degree in Energetics from the Ecole des Mines de Paris in 2005 and his Ph.D. degree from the Ecole des Mines de Paris in 2009. His research interests include renewable energies, power system operation, decision making and electricity markets.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783838323848
- Sprache Englisch
- Größe H220mm x B150mm x T17mm
- Jahr 2011
- EAN 9783838323848
- Format Kartonierter Einband
- ISBN 383832384X
- Veröffentlichung 07.03.2011
- Titel Renewable sources in electricity markets
- Autor Franck Bourry
- Untertitel Management of uncertainties related to renewable generation participation in electricity markets
- Gewicht 435g
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 280
- Genre Mathematik