Optimal Trading of a Charging-Station Company in Auction Markets for Electricity
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00379799" target="_blank" >RIV/68407700:21230/25:00379799 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/25:00379799
Result on the web
<a href="https://doi.org/10.1109/TITS.2024.3524790" target="_blank" >https://doi.org/10.1109/TITS.2024.3524790</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TITS.2024.3524790" target="_blank" >10.1109/TITS.2024.3524790</a>
Alternative languages
Result language
angličtina
Original language name
Optimal Trading of a Charging-Station Company in Auction Markets for Electricity
Original language description
This paper addresses a charging-station company (Chargco) for electric and hydrogen vehicles. The optimal trading of the Chargco in day-ahead and intraday auction markets for electricity is modeled as a stochastic Mixed-Integer Quadratic Program (MIQP). We propose a series of linearization and reformulation techniques to reformulate the stochastic MIQP as a mixed-integer linear program (MILP). To model stochasticity, we utilize generative adversarial networks to cluster electricity market price scenarios. Additionally, a combination of random forests and linear regression is employed to model the relationship between Chargco electricity and hydrogen loads and their selling prices. Finally, we propose an Improved L-Shaped Decomposition (ILSD) algorithm to solve our stochastic MILP. Our ILSD algorithm not only addresses infeasibilities through an innovative approach but also incorporates warm starts, valid inequalities and multiple generation cuts, thereby reducing computational complexity. Numerical experiments illustrate the Chargco trading using our proposed stochastic MILP and its solution algorithm.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Intelligent Transportation Systems
ISSN
1524-9050
e-ISSN
1558-0016
Volume of the periodical
26
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
6545-6555
UT code for WoS article
001400180400001
EID of the result in the Scopus database
2-s2.0-85215622950