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Pregled bibliografske jedinice broj: 809687

Near-Optimal Method for Siting and Sizing of Distributed Storage in a Transmission Network


Pandžić, Hrvoje; Wang, Yishen; Qui, Ting; Dvorkin, Yury; Kirschen, Daniel
Near-Optimal Method for Siting and Sizing of Distributed Storage in a Transmission Network // IEEE transactions on power systems, 30 (2015), 5; 2288-2300 doi:10.1109/TPWRS.2014.2364257 (međunarodna recenzija, članak, znanstveni)


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Naslov
Near-Optimal Method for Siting and Sizing of Distributed Storage in a Transmission Network

Autori
Pandžić, Hrvoje ; Wang, Yishen ; Qui, Ting ; Dvorkin, Yury ; Kirschen, Daniel

Izvornik
IEEE transactions on power systems (0885-8950) 30 (2015), 5; 2288-2300

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

Ključne riječi
Energy storage ; mixed-integer linear programming ; storage siting ; storage sizing ; unit commitment.

Sažetak
Energy storage can alleviate the problems that the uncertainty and variability associated with renewable energy sources such as wind and solar create in power systems. Besides applications such as frequency control, temporal arbitrage or the provision of reserve, where the location of storage is not particularly relevant, distributed storage could also be used to alleviate congestion in the transmission network. In such cases, the siting and sizing of this distributed storage is of crucial importance to its cost-effectiveness. This paper describes a three-stage planning procedure to identify the optimal locations and parameters of distributed storage units. In the first stage, the optimal storage locations and parameters are determined for each day of the year individually. In the second stage, a number of storage units is available at the locations that were identified as being optimal in the first stage, and their optimal energy and power ratings are determined. Finally, in the third stage, with both the locations and ratings fixed, the optimal operation of the storage units is simulated to quantify the benefits that they would provide by reducing congestion. The quality of the final solution is assessed by comparing it with the solution obtained at the first stage without constraints on storage sites or size. The approach is numerically tested on the IEEE RTS 96.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Hrvoje Pandžić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Pandžić, Hrvoje; Wang, Yishen; Qui, Ting; Dvorkin, Yury; Kirschen, Daniel
Near-Optimal Method for Siting and Sizing of Distributed Storage in a Transmission Network // IEEE transactions on power systems, 30 (2015), 5; 2288-2300 doi:10.1109/TPWRS.2014.2364257 (međunarodna recenzija, članak, znanstveni)
Pandžić, H., Wang, Y., Qui, T., Dvorkin, Y. & Kirschen, D. (2015) Near-Optimal Method for Siting and Sizing of Distributed Storage in a Transmission Network. IEEE transactions on power systems, 30 (5), 2288-2300 doi:10.1109/TPWRS.2014.2364257.
@article{article, author = {Pand\v{z}i\'{c}, Hrvoje and Wang, Yishen and Qui, Ting and Dvorkin, Yury and Kirschen, Daniel}, year = {2015}, pages = {2288-2300}, DOI = {10.1109/TPWRS.2014.2364257}, keywords = {Energy storage, mixed-integer linear programming, storage siting, storage sizing, unit commitment.}, journal = {IEEE transactions on power systems}, doi = {10.1109/TPWRS.2014.2364257}, volume = {30}, number = {5}, issn = {0885-8950}, title = {Near-Optimal Method for Siting and Sizing of Distributed Storage in a Transmission Network}, keyword = {Energy storage, mixed-integer linear programming, storage siting, storage sizing, unit commitment.} }
@article{article, author = {Pand\v{z}i\'{c}, Hrvoje and Wang, Yishen and Qui, Ting and Dvorkin, Yury and Kirschen, Daniel}, year = {2015}, pages = {2288-2300}, DOI = {10.1109/TPWRS.2014.2364257}, keywords = {Energy storage, mixed-integer linear programming, storage siting, storage sizing, unit commitment.}, journal = {IEEE transactions on power systems}, doi = {10.1109/TPWRS.2014.2364257}, volume = {30}, number = {5}, issn = {0885-8950}, title = {Near-Optimal Method for Siting and Sizing of Distributed Storage in a Transmission Network}, keyword = {Energy storage, mixed-integer linear programming, storage siting, storage sizing, unit commitment.} }

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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