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Jens U. Güssow
Former Member
Title
Dr.
Last Name
Güssow
First name
Jens U.
Email
jens.guessow@unisg.ch
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1 - 10 of 14
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PublicationStochastische Optimierung im Energiehandel: Entscheidungsunterstützung und Bewertung für das Portfoliomanagement(Energieportal GmbH & Co. KG, 2005-02-09)Kuhn, DanielType: journal articleJournal: e|m|w Zeitschrift für Energie, Markt, WettbewerbVolume: 1Issue: 0
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PublicationEnergy Business and Finance Policy - Parallels in Methodology and Duties(Österreichische Elektrizitätswirtschafts-Aktiengesellschaft, 2003-09-25)Kuhn, DanielType: conference paperJournal: Schriftenreihe der Forschung im VerbundVolume: Band 85
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PublicationUmsetzung stochastischer Optimierungsmethoden in der Energiewirtschaft(VDI-Verl., 2002-05-15)
;Kuhn, DanielOstermaier, GeorgType: conference paperJournal: VDI-BerichteVolume: Nr. 1688 -
PublicationType: conference paper
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PublicationStochastic Optimization in Dispatching of Complex Power Systems(Österreichische Elektrizitätswirtschaft Aktiengesellschaft, 1999-09-22)Ostermaier, GeorgType: conference paper
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PublicationClean Valuation with Regard to EU Emission Trading(Springer, 2009)
;Kallrath, Josef ;Pardalos, Panos M. ;Rebennack, SteffenScheidt, MaxIn the electric power industry the observed increases of electricity price dynamics combined with the characteristic periodicity of related decision processes have motivated the use of multistage stochastic programming in recent years to provide flexible models for practical applications in the sector. Specifically in power generation and trading the planning process must obey highly complex interrelations between manifold influences. They range from short term price fluctuations as observed in spot markets to long term changes of fundamental influences. Not only changes in the electric supply system itself must be considered, but also the related availability and costs of required fuels. For example, the prices and usability of natural gas in power generation also depend on the existence of respective deployment and distribution systems. Furthermore the electric power sector is exposed to manifold regulatory uncertainties related to the rules imposed by the responsible authorities. Recently environmental issues have become very popular due to the ongoing discussion on climate change. In January 2005 the European Emissions Trading Scheme (EU ETS) has been launched which by many is considered a new key element in efficient electricity market operations. In this paper we will introduce a modeling framework that considers the influence of emission trading on portfolio problems in the electric power sector by applying clean valuation schemes that particularly take fuel costs, emission efficiency in combination with investment possibilities and generation flexibility into account. Sensitivity analysis is performed with respect to changes in technology, volatilities and price scenarios.Type: book section -
PublicationPower System Operation and Trading in competitive Energy MarketsIn Chapter 1 planning problems concerning power generation and trading in new competitive energy markets are outlined. The old objective was to ensure security of supply at minimum costs. The main stochastic influences were therefore load, outages and fluctuations in the production of certain power-plants (e.g. hydro). The priorities depend on the individual conditions of an energy provider. In competitive markets maximizing profits becomes the main issue. Trading therefore becomes a key factor in planning for companies who want to participate in the energy business. With respect to the uncertainties and periodicity in the decision process, sochastic multistage programming is well suited for decision support in mid-term planning. In Chapter 2 the basic concepts are introduced. Barycentric approximation and stochastic dual dynamic programming and their capability to solve respective problems are described. The simultaneous use of different methodologies allows for a deeper understanding and extended analysis. In Chapter 3 modeling issues concerning the representation of power systems operation (including hydro and thermal electricity production) and trading possibilities in competitive markets are discussed. Two general modeling approaches are presented. They are extended by riskmanagement concepts. Chapter 4 contains numerical results obtained from different modifications and extensions of a specific model that considers hydro-thermal power production with trading possibilities in an open power exchange. Chapter 5 summarizes the insights obtained from this work.Type: doctoral thesis
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PublicationType: newspaper articleJournal: e|m|w Zeitschrift für Energie, Markt, WettbewerbIssue: 1
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PublicationType: newspaper articleJournal: Optimierung in der Energiewirtschaft: VDI Berichte 1908
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PublicationType: work report