TY - GEN
T1 - Mathematical Models for Optimization of Grid-Integrated Energy Storage Systems
T2 - 51st North American Power Symposium, NAPS 2019
AU - Eyisi, Chiebuka
AU - Al-Sumaiti, Ameena Saad
AU - Turitsyn, Konstantin
AU - Li, Qifeng
N1 - Funding Information:
C. Eyisi and Q. Li’s work was supported by U.S. National Science Foundation under award 1808988. A. S. Al-Sumaiti and K. Turitsyn’s work was supported by the MI-MIT Cooperative Program under grant MM2017-000002.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Energy storage has been proven to yield positive effects on planning, operation and control of electric grids. It has become a crucial task to properly model the energy storage systems (ESS) under the framework of grid optimization on transmission and distribution networks including microgrids. This paper presents a review on mathematical models and test cases of ESSs used for grid optimization studies, where the network constraints of power systems are included. The existing ESS models are mainly classified into two categories-linear and nonlinear models. The two main categories are further divided into several subcategories respectively; such as mixed-integer linear and convex nonlinear sub-categories. Based on the review and discussions, this paper aims at providing suggestions for choosing proper ESS models for specific grid optimization studies considering the chosen power network model.
AB - Energy storage has been proven to yield positive effects on planning, operation and control of electric grids. It has become a crucial task to properly model the energy storage systems (ESS) under the framework of grid optimization on transmission and distribution networks including microgrids. This paper presents a review on mathematical models and test cases of ESSs used for grid optimization studies, where the network constraints of power systems are included. The existing ESS models are mainly classified into two categories-linear and nonlinear models. The two main categories are further divided into several subcategories respectively; such as mixed-integer linear and convex nonlinear sub-categories. Based on the review and discussions, this paper aims at providing suggestions for choosing proper ESS models for specific grid optimization studies considering the chosen power network model.
KW - Energy storage
KW - modeling power grids
KW - optimization
UR - http://www.scopus.com/inward/record.url?scp=85080894310&partnerID=8YFLogxK
U2 - 10.1109/NAPS46351.2019.9000190
DO - 10.1109/NAPS46351.2019.9000190
M3 - Conference contribution
AN - SCOPUS:85080894310
T3 - 51st North American Power Symposium, NAPS 2019
BT - 51st North American Power Symposium, NAPS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 October 2019 through 15 October 2019
ER -