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Imperfect Unit Commitment Decisions with Perfect Information: a Real-time Comparison of Energy versus Power. / Philipsen, Rens; Morales Espana, German; de Weerdt, Mathijs; de Vries, Laurens.

19th Power Systems Computation Conference, PSCC 2016. Piscataway, NJ : IEEE, 2016. p. 1-7.

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Philipsen, R, Morales Espana, G, de Weerdt, M & de Vries, L 2016, Imperfect Unit Commitment Decisions with Perfect Information: a Real-time Comparison of Energy versus Power. in 19th Power Systems Computation Conference, PSCC 2016. IEEE, Piscataway, NJ, pp. 1-7, 19th Power Systems Computation Conference, PSCC 2016, Genova, Italy, 20/06/16.

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BibTeX

@inproceedings{56a3a0909227478ab15b3d648dca8826,
title = "Imperfect Unit Commitment Decisions with Perfect Information: a Real-time Comparison of Energy versus Power",
abstract = "In order to cope with fluctuations and uncertainty, power systems rely on contracted reserves. The day-ahead Unit Commitment (UC) is the short-term planning process which is commonly used to schedule these resources at minimum cost, while operating the system and units within secure technical limits. This paper shows through the evaluation of deterministic cases that conventional energy-based UC formulations lead to inefficient use of reserves in real-time operation to deal with completely known deterministic events. These inefficient decisions are inherent to the assumptions underlying the energy-based formulation, and the misaligned incentives between markets and real-time operation. Economic efficiency and system security can be improved by adopting a UC formulation which explicitly considers the instantaneous power trajectories of generators.",
author = "Rens Philipsen and {Morales Espana}, German and {de Weerdt}, Mathijs and {de Vries}, Laurens",
year = "2016",
month = "6",
language = "English",
pages = "1--7",
booktitle = "19th Power Systems Computation Conference, PSCC 2016",
publisher = "IEEE",
address = "United States",

}

RIS

TY - GEN

T1 - Imperfect Unit Commitment Decisions with Perfect Information: a Real-time Comparison of Energy versus Power

AU - Philipsen, Rens

AU - Morales Espana, German

AU - de Weerdt, Mathijs

AU - de Vries, Laurens

PY - 2016/6

Y1 - 2016/6

N2 - In order to cope with fluctuations and uncertainty, power systems rely on contracted reserves. The day-ahead Unit Commitment (UC) is the short-term planning process which is commonly used to schedule these resources at minimum cost, while operating the system and units within secure technical limits. This paper shows through the evaluation of deterministic cases that conventional energy-based UC formulations lead to inefficient use of reserves in real-time operation to deal with completely known deterministic events. These inefficient decisions are inherent to the assumptions underlying the energy-based formulation, and the misaligned incentives between markets and real-time operation. Economic efficiency and system security can be improved by adopting a UC formulation which explicitly considers the instantaneous power trajectories of generators.

AB - In order to cope with fluctuations and uncertainty, power systems rely on contracted reserves. The day-ahead Unit Commitment (UC) is the short-term planning process which is commonly used to schedule these resources at minimum cost, while operating the system and units within secure technical limits. This paper shows through the evaluation of deterministic cases that conventional energy-based UC formulations lead to inefficient use of reserves in real-time operation to deal with completely known deterministic events. These inefficient decisions are inherent to the assumptions underlying the energy-based formulation, and the misaligned incentives between markets and real-time operation. Economic efficiency and system security can be improved by adopting a UC formulation which explicitly considers the instantaneous power trajectories of generators.

UR - http://resolver.tudelft.nl/uuid:56a3a090-9227-478a-b15b-3d648dca8826

M3 - Conference contribution

SP - 1

EP - 7

BT - 19th Power Systems Computation Conference, PSCC 2016

PB - IEEE

CY - Piscataway, NJ

ER -

ID: 9249573