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Dive into the research topics where Heike Brand is active.

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Featured researches published by Heike Brand.


IEEE Transactions on Power Systems | 2011

Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland

Peter Meibom; Rüdiger Barth; Bernhard Hasche; Heike Brand; Christoph Weber; Mark O'Malley

A stochastic mixed integer linear optimization scheduling model minimizing system operation costs and treating load and wind power production as stochastic inputs is presented. The schedules are updated in a rolling manner as more up-to-date information becomes available. This is a fundamental change relative to day-ahead unit commitment approaches. The need for reserves dependent on forecast horizon and share of wind power has been estimated with a statistical model combining load and wind power forecast errors with scenarios of forced outages. The model is used to study operational impacts of future high wind penetrations for the island of Ireland. Results show that at least 6000 MW of wind (34% of energy demand) can be integrated into the island of Ireland without significant curtailment and reliability problems.


ieee international conference on probabilistic methods applied to power systems | 2006

A Stochastic Unit-commitment Model for the Evaluation of the Impacts of Integration of Large Amounts of Intermittent Wind Power

Rüdiger Barth; Heike Brand; P. Meibom; Christoph Weber

A large share of integrated wind power causes technical and financial impacts on the operation of the existing electricity system due to the fluctuating behaviour and unpredictability of wind power. The presented stochastic bottom-up electricity market model optimises the unit commitment considering five kinds of markets and taking explicitly into account the stochastic behaviour of the wind power generation and of the prediction error. It can be used for the evaluation of varying electricity prices and system costs due to wind power integration and for the investigation of integration measures


Archive | 2009

WILMAR: A Stochastic Programming Tool to Analyze the Large-Scale Integration of Wind Energy

Christoph Weber; Peter Meibom; Rüdiger Barth; Heike Brand

Wind power is highly variable and partly unpredictable and therefore energy systems of the future have to cope with increased variability and stochasticity. The paper describes the use of a novel stochastic programming model to assess the impact of increased wind power generation on electricity systems. This WILMAR model takes explicitly the stochastic behavior of wind generation and the forecast errors into account. Also a detailed modeling of power plant, grid and market characteristics is performed. WILMAR thus allows to assess the impact of increased wind generation on reserve needs and usage, power plant operation and system cost.


2007 IEEE Power Engineering Society General Meeting | 2007

Wind power integration studies using a multi-stage stochastic electricity system model

Peter Meibom; Rüdiger Barth; Heike Brand; Christoph Weber

A large share of integrated wind power causes technical and financial impacts on the operation of the existing electricity system due to the fluctuating behaviour and unpredictability of wind power. The presented stochastic electricity market model optimises the unit commitment considering four kinds of electricity markets (e.g. a spot and balancing market) and taking into account the stochastic behaviour of the wind power generation and of the prediction error. It can be used for the evaluation of varying electricity prices and system costs due to wind power integration and for the investigation of integration measures.


International Journal of Global Energy Issues | 2006

Regional electricity price differences due to intermittent wind power in Germany: impact of extended transmission and storage capacities

Rüdiger Barth; Heike Brand; Derk J. Swider; Christoph Weber; Peter Meibom

A fast growth of installed wind power capacity has been experienced in several European countries. In Germany, notably high wind power capacities are planned in the North. If the existing transmission capacities between individual regions become insufficient, the electricity prices will differ considerably and the system operation can become unstable. It is supposed that the extension of transmission capacities and the use of energy storages avoid this separation of individual regions. In this paper, the arising price differences between regions in Germany are estimated using a novel stochastic linear optimisation model that optimises the efficient power market operation on an hourly basis. To estimate the impact of extensions of transmission lines and energy storages on the electricity prices systematic case studies are undertaken. It is exemplarily shown that differences of electricity prices can be equalised with transmission capacity extensions whereas they remain with the use of storage devices.


Archive | 2011

Advanced Unit Commitment Strategies in the United States Eastern Interconnection

Peter Meibom; Helge V. Larsen; Rüdiger Barth; Heike Brand; Aidan Tuohy; Erik Ela

This project sought to evaluate the impacts of high wind penetrations on the U.S. Eastern Interconnection and analyze how different unit commitment strategies may affect these impacts.


Wind Energy | 2007

Value of electric heat boilers and heat pumps for wind power integration

Peter Meibom; Juha Kiviluoma; Rüdiger Barth; Heike Brand; Christoph Weber; Helge V. Larsen


Applied Energy | 2005

Long-term optimization of cogeneration systems in a competitive market environment

Eva Thorin; Heike Brand; Christoph Weber


Iet Renewable Power Generation | 2009

Operational costs induced by fluctuating wind power production in Germany and Scandinavia

Peter Meibom; Christoph Weber; Rüdiger Barth; Heike Brand


Archive | 2008

All island grid study. Wind variability management studies

Peter Meibom; Rüdiger Barth; Heike Brand; Bernhard Hasche; Derk J. Swider; H. Ravn; Christoph Weber

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Christoph Weber

University of Duisburg-Essen

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Peter Meibom

University of Copenhagen

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Helge V. Larsen

Technical University of Denmark

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Bernhard Hasche

University College Dublin

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J. Apfelbeck

University of Stuttgart

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Aidan Tuohy

Electric Power Research Institute

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Erik Ela

Electric Power Research Institute

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