- AutorIn
- Dipl.-Wi.-Ing. Florian U. Leuthold
- Titel
- Economic Engineering Modeling of Liberalized Electricity Markets: Approaches, Algorithms, and Applications in a European Context
- Untertitel
- Economic Engineering Modeling of Liberalized Electricity Markets: Approaches, Algorithms, and Applications in a European Context
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-26135
- Übersetzter Titel (DE)
- Techno-ökonomische Modellierung liberalisierter Elektrizitätsmärkte: Ansätze, Algorithmen und Anwendungen im europäischen Kontext
- Datum der Einreichung
- 29.05.2009
- Datum der Verteidigung
- 08.01.2010
- Abstract (EN)
- This dissertation focuses on selected issues in regard to the mathematical modeling of electricity markets. In a first step the interrelations of electric power market modeling are highlighted a crossroad between operations research, applied economics, and engineering. In a second step the development of a large-scale continental European economic engineering model named ELMOD is described and the model is applied to the issue of wind integration. It is concluded that enabling the integration of low-carbon technologies appears feasible for wind energy. In a third step algorithmic work is carried out regarding a game theoretic model. Two approaches in order to solve a discretely-constrained mathematical program with equilibrium constraints using disjunctive constraints are presented. The first one reformulates the problem as a mixed-integer linear program and the second one applies the Benders decomposition technique. Selected numerical results are reported.
- Freie Schlagwörter (DE)
- Elektrizitätsmarkt, Modellierung, Optimierung, Lastflussoptimierung, techno-ökonomische Kraftwerkseinsatzplanung, Spieltheorie, Stackelberg Spiel, MPEC, Benders Dekomposition, Europa, Windenergie, Netzausbau
- Freie Schlagwörter (EN)
- electricity market, large-scale modeling, optimization, optimal power flow, economic dispatch, unit commitment, game theory, Stackelberg game, MPEC, Benders decomposition, Europe, wind energy, network expansion
- Klassifikation (DDC)
- 330
- Klassifikation (RVK)
- QR 530
- GutachterIn
- Prof. Dr. Christian von Hirschhausen
- Prof. Dr. Udo Buscher
- BetreuerIn
- Prof. Dr. Christian von Hirschhausen
- Den akademischen Grad verleihende / prüfende Institution
- Technische Universität Dresden, Dresden
- Förder- / Projektangaben
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa-26135
- Veröffentlichungsdatum Qucosa
- 15.01.2010
- Dokumenttyp
- Dissertation
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis