P
Peter Meibom
Researcher at Technical University of Denmark
Publications - 77
Citations - 5665
Peter Meibom is an academic researcher from Technical University of Denmark. The author has contributed to research in topics: Wind power & Electric power system. The author has an hindex of 32, co-authored 77 publications receiving 5402 citations. Previous affiliations of Peter Meibom include University of Copenhagen.
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Unit commitment for systems with significant wind penetration
TL;DR: In this article, the effects of stochastic wind and load on the unit commitment and dispatch of power systems with high levels of wind power are examined, by comparing the costs, planned operation and performance of the schedules produced.
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Unit Commitment for Systems With Significant Wind Penetration
TL;DR: In this paper, the effects of stochastic wind and load on the unit commitment and dispatch of power systems with high levels of wind power are examined, by comparing the costs, planned operation and performance of the schedules produced.
Journal ArticleDOI
Impacts of large amounts of wind power on design and operation of power systems, results of IEA collaboration
Hannele Holttinen,Peter Meibom,Antje Orths,Bernhard Lange,Mark O'Malley,John Olav Giæver Tande,Ana Estanqueiro,E. Gómez,Lennart Söder,Goran Strbac,J. Charles Smith,Frans Van Hulle +11 more
TL;DR: In this article, the results of the IEA WIND R&D Task 25 on "Design and Operation of Power Systems with Large Scale Energy Storage" are compared with the results reported in this paper.
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Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland
TL;DR: In this paper, a stochastic mixed integer linear optimization scheduling model minimizing system operation costs and treating load and wind power production as stochastically inputs is presented, and the schedules are updated in a rolling manner as more up-to-date information becomes available.
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Optimal charging of electric drive vehicles in a market environment
TL;DR: In this article, an aggregator that manages the electricity market participation of a vehicle fleet and presents a framework for optimizing charging and discharging of the electric drive vehicles, given the driving patterns of the fleet and the variations in market prices of electricity.