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https://doi.org/10.1109/ptc.20...
Conference object . 2019 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Impact of Gas Third Party Access in the Unit Commitment Optimal Solution

Authors: de Otaola Arca, Pedro; García González, Javier; Mariño Lizuain, Fernando Eduardo; Rivera Menéndez, Ignacio;

Impact of Gas Third Party Access in the Unit Commitment Optimal Solution

Abstract

Capítulos en libros The importance of the natural gas sector in the electric power industry has increased substantially over the last decades, reaching 21% generation capacity in Europe in 2016. Generation companies that own gas fired units (GFUs), such us combined cycle gas turbines, have to take into account not only the fuel and the operation and maintenance costs, but also the costs related to the third-party access (TPA) tariffs to the gas network as any other gas consumer. This paper highlights the importance of modeling these TPA tariffs in a proper manner as they represent a significant share of the total operation cost of GFU. In addition, the fact that TPA final costs depend on the daily gas consumption for the whole month, makes traditional short-term unit-commitment (UC) models unable to capture the impact of the new complicating constraints. This paper presents the mathematical formulation of a UC model that models the TPA tariffs to the gas network in a more realistic manner where a joint assessment is formulated for all the units that withdraw gas from the same node of the gas network. The paper includes an example case that illustrates the impact on the optimal hourly scheduling of such detailed modeling, and it compares the results with the standard formulation based on individual cost functions of each thermal unit. info:eu-repo/semantics/publishedVersion

Country
Spain
Keywords

Instituto de Investigación Tecnológica (IIT)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average