TY - JOUR
T1 - Energy-Storage Modeling
T2 - State-of-the-Art and Future Research Directions
AU - Sioshansi, Ramteen
AU - Denholm, Paul
AU - Arteaga, Juan
AU - Awara, Sarah
AU - Bhattacharjee, Shubhrajit
AU - Botterud, Audun
AU - Cole, Wesley
AU - Cortes, Andres
AU - Queiroz, Anderson De
AU - Decarolis, Joseph
AU - DIng, Zhenhuan
AU - DIorio, Nicholas
AU - Dvorkin, Yury
AU - Helman, Udi
AU - Johnson, Jeremiah X.
AU - Konstantelos, Ioannis
AU - Mai, Trieu
AU - Pandzic, Hrvoje
AU - Sodano, Daniel
AU - Stephen, Gord
AU - Svoboda, Alva
AU - Zareipour, Hamidreza
AU - Zhang, Ziang
N1 - Publisher Copyright:
© 1969-2012 IEEE.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - 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.
AB - 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.
KW - Energy storage
KW - modeling
KW - power system economics
KW - power system expansion planning
KW - power system operations
UR - https://www.scopus.com/pages/publications/85126541927
U2 - 10.1109/TPWRS.2021.3104768
DO - 10.1109/TPWRS.2021.3104768
M3 - Article
AN - SCOPUS:85126541927
SN - 0885-8950
VL - 37
SP - 860
EP - 875
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 2
ER -