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Pregled bibliografske jedinice broj: 1101681

A Cluster-Based Operation Model of Aggregated Battery Swapping Stations


Šepetanc, Karlo; Pandžić, Hrvoje
A Cluster-Based Operation Model of Aggregated Battery Swapping Stations // IEEE Transactions on Power Systems, 35 (2020), 1; 249-260 doi:10.1109/tpwrs.2019.2934017 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1101681 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A Cluster-Based Operation Model of Aggregated Battery Swapping Stations

Autori
Šepetanc, Karlo ; Pandžić, Hrvoje

Izvornik
IEEE Transactions on Power Systems (0885-8950) 35 (2020), 1; 249-260

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
battery swapping station ; clustering ; bi-level op-timization ; energy market ; reserve market

Sažetak
Battery swapping stations (BSSs) have a potential of becoming a part of the electric vehicle charging infrastructure mix.A number of aggregated BSSs have a significant capacity and can act as strategic players in electricity market. This paper formulates a discrete cluster model for optimal operation of aggregated BSSs that take part in the day-ahead energy and reserve capacity markets and have sufficient combined capacity to affect market prices. In the presented bilevel structure the upper-level problem optimally defines charging and discharging schedules, as well as reserve capacity, of the aggregated BSSs, while the lower-level problem clears the market and provides locational marginal prices for each BSS, as well as the reserve capacity prices. This problem is converted into a single-level equivalent using the Karush-Kuhn-Tucker optimality conditions. The presented case study reveals that BSSs can collect significant revenues when providing reserve capacity. The main benefit of the proposed cluster model is computational tractability and solution accuracy, which depends on the resolution of the clusters.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
HRZZ-IP-2014-09-3517 - Stanica za zamjenu baterija električnih vozila (EV BASS) (Pandžić, Hrvoje, HRZZ ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Karlo Šepetanc (autor)

Avatar Url Hrvoje Pandžić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Šepetanc, Karlo; Pandžić, Hrvoje
A Cluster-Based Operation Model of Aggregated Battery Swapping Stations // IEEE Transactions on Power Systems, 35 (2020), 1; 249-260 doi:10.1109/tpwrs.2019.2934017 (međunarodna recenzija, članak, znanstveni)
Šepetanc, K. & Pandžić, H. (2020) A Cluster-Based Operation Model of Aggregated Battery Swapping Stations. IEEE Transactions on Power Systems, 35 (1), 249-260 doi:10.1109/tpwrs.2019.2934017.
@article{article, author = {\v{S}epetanc, Karlo and Pand\v{z}i\'{c}, Hrvoje}, year = {2020}, pages = {249-260}, DOI = {10.1109/tpwrs.2019.2934017}, keywords = {battery swapping station, clustering, bi-level op-timization, energy market, reserve market}, journal = {IEEE Transactions on Power Systems}, doi = {10.1109/tpwrs.2019.2934017}, volume = {35}, number = {1}, issn = {0885-8950}, title = {A Cluster-Based Operation Model of Aggregated Battery Swapping Stations}, keyword = {battery swapping station, clustering, bi-level op-timization, energy market, reserve market} }
@article{article, author = {\v{S}epetanc, Karlo and Pand\v{z}i\'{c}, Hrvoje}, year = {2020}, pages = {249-260}, DOI = {10.1109/tpwrs.2019.2934017}, keywords = {battery swapping station, clustering, bi-level op-timization, energy market, reserve market}, journal = {IEEE Transactions on Power Systems}, doi = {10.1109/tpwrs.2019.2934017}, volume = {35}, number = {1}, issn = {0885-8950}, title = {A Cluster-Based Operation Model of Aggregated Battery Swapping Stations}, keyword = {battery swapping station, clustering, bi-level op-timization, energy market, reserve market} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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