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Pregled bibliografske jedinice broj: 1184028

Energy-Storage Modeling: State-of-the-Art and Future Research Directions

Sioshansi, Ramteen; Denholm, Paul; Arteaga, Juan; Awara, Sarah; Bhattacharjee, Shubhrajit; Botterud, Audun; Cole, Wesley; Cortes, Andres; de Queiroz, Anderson; DeCarolis, Joseph et al.
Energy-Storage Modeling: State-of-the-Art and Future Research Directions // IEEE transactions on power systems, 37 (2022), 2; 860-875 doi:10.1109/TPWRS.2021.3104768 (međunarodna recenzija, članak, znanstveni)

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Naslov
Energy-Storage Modeling: State-of-the-Art and Future Research Directions
(Energy-Storage Modeling: State-of-the-Art and Future Research Directions)

Autori
Sioshansi, Ramteen ; Denholm, Paul ; Arteaga, Juan ; Awara, Sarah ; Bhattacharjee, Shubhrajit ; Botterud, Audun ; Cole, Wesley ; Cortes, Andres ; de Queiroz, Anderson ; DeCarolis, Joseph ; Ding, Zhenhuan ; DiOrio, Nicholas ; Dvorkin, Yury ; Helman, Udi ; Johnson, Jeremiah ; Konstantelos, Ioannis ; Mai, Trieu ; Pandžić, Hrvoje ; Sodano, Daniel ; Gord, Stephen ; Svoboda, Alva ; Zareipour, Hamidreza ; Zhang, Ziang

Izvornik
IEEE transactions on power systems (0885-8950) 37 (2022), 2; 860-875

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

Ključne riječi
Energy storage ; Computational modeling ; Power systems

Sažetak
Given its physical characteristics and the range of services that it can provide, energy storage raises unique modeling challenges. This paper summarizes capabilities that operational, planning, and resource-adequacy models that include energy storage should have and surveys gaps in extant models. Existing models that represent energy storage differ in fidelity of representing the balance of the power system and energy-storage applications. Modeling results are sensitive to these differences. The importance of capturing chronology can raise challenges in energy-storage modeling. Some models ‘decouple’ individual operating periods from one another, allowing for natural decomposition and rendering the models relatively computationally tractable. Energy storage complicates such a modeling approach. Improving the representation of the balance of the system can have major effects in capturing energy-storage costs and benefits.

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:

Sioshansi, Ramteen; Denholm, Paul; Arteaga, Juan; Awara, Sarah; Bhattacharjee, Shubhrajit; Botterud, Audun; Cole, Wesley; Cortes, Andres; de Queiroz, Anderson; DeCarolis, Joseph et al.
Energy-Storage Modeling: State-of-the-Art and Future Research Directions // IEEE transactions on power systems, 37 (2022), 2; 860-875 doi:10.1109/TPWRS.2021.3104768 (međunarodna recenzija, članak, znanstveni)
Sioshansi, R., Denholm, P., Arteaga, J., Awara, S., Bhattacharjee, S., Botterud, A., Cole, W., Cortes, A., de Queiroz, A. & DeCarolis, J. (2022) Energy-Storage Modeling: State-of-the-Art and Future Research Directions. IEEE transactions on power systems, 37 (2), 860-875 doi:10.1109/TPWRS.2021.3104768.
@article{article, author = {Sioshansi, Ramteen and Denholm, Paul and Arteaga, Juan and Awara, Sarah and Bhattacharjee, Shubhrajit and Botterud, Audun and Cole, Wesley and Cortes, Andres and de Queiroz, Anderson and DeCarolis, Joseph and Ding, Zhenhuan and DiOrio, Nicholas and Dvorkin, Yury and Helman, Udi and Johnson, Jeremiah and Konstantelos, Ioannis and Mai, Trieu and Pand\v{z}i\'{c}, Hrvoje and Sodano, Daniel and Gord, Stephen and Svoboda, Alva and Zareipour, Hamidreza and Zhang, Ziang}, year = {2022}, pages = {860-875}, DOI = {10.1109/TPWRS.2021.3104768}, keywords = {Energy storage, Computational modeling, Power systems}, journal = {IEEE transactions on power systems}, doi = {10.1109/TPWRS.2021.3104768}, volume = {37}, number = {2}, issn = {0885-8950}, title = {Energy-Storage Modeling: State-of-the-Art and Future Research Directions}, keyword = {Energy storage, Computational modeling, Power systems} }
@article{article, author = {Sioshansi, Ramteen and Denholm, Paul and Arteaga, Juan and Awara, Sarah and Bhattacharjee, Shubhrajit and Botterud, Audun and Cole, Wesley and Cortes, Andres and de Queiroz, Anderson and DeCarolis, Joseph and Ding, Zhenhuan and DiOrio, Nicholas and Dvorkin, Yury and Helman, Udi and Johnson, Jeremiah and Konstantelos, Ioannis and Mai, Trieu and Pand\v{z}i\'{c}, Hrvoje and Sodano, Daniel and Gord, Stephen and Svoboda, Alva and Zareipour, Hamidreza and Zhang, Ziang}, year = {2022}, pages = {860-875}, DOI = {10.1109/TPWRS.2021.3104768}, keywords = {Energy storage, Computational modeling, Power systems}, journal = {IEEE transactions on power systems}, doi = {10.1109/TPWRS.2021.3104768}, volume = {37}, number = {2}, issn = {0885-8950}, title = {Energy-Storage Modeling: State-of-the-Art and Future Research Directions}, keyword = {Energy storage, Computational modeling, Power systems} }

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

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