Abstract
In future smart grids, energy storage systems (ESSs) are expected to play a key role in reducing peak hour electricity generation cost and the associated level of carbon emissions. Considering their high acquisition, operation, and maintenance costs, ESSs are likely to serve a large number of users. Hence, optimal sizing of energy ESSs plays a critical role as over-provisioning ESS size leads to under-utilizing costly assets and under-provisioning it taxes operation lifetime. This paper proposes a stochastic framework for analyzing the optimal size of energy storage systems. In this framework the demand of each customer is modeled stochastically and the aggregate demand is accommodated by a combination of power drawn from the grid and the storage unit when the demand exceeds grid capacity. In this framework an analytical method is developed, which provides tractable solution to the ESS sizing problem of interest. The results indicate that significant savings in terms of ESS size can be achieved.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Communications |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 770-775 |
| Number of pages | 6 |
| Volume | 2015-September |
| ISBN (Print) | 9781467364324 |
| DOIs | |
| Publication status | Published - 9 Sep 2015 |
| Event | IEEE International Conference on Communications, ICC 2015 - London, United Kingdom Duration: 8 Jun 2015 → 12 Jun 2015 |
Other
| Other | IEEE International Conference on Communications, ICC 2015 |
|---|---|
| Country | United Kingdom |
| City | London |
| Period | 8/6/15 → 12/6/15 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications
Cite this
Energy storage sizing for peak hour utility applications. / Bayram, Islam; Abdallah, Mohamed; Tajer, Ali; Qaraqe, Khalid.
IEEE International Conference on Communications. Vol. 2015-September Institute of Electrical and Electronics Engineers Inc., 2015. p. 770-775 7248415.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Energy storage sizing for peak hour utility applications
AU - Bayram, Islam
AU - Abdallah, Mohamed
AU - Tajer, Ali
AU - Qaraqe, Khalid
PY - 2015/9/9
Y1 - 2015/9/9
N2 - In future smart grids, energy storage systems (ESSs) are expected to play a key role in reducing peak hour electricity generation cost and the associated level of carbon emissions. Considering their high acquisition, operation, and maintenance costs, ESSs are likely to serve a large number of users. Hence, optimal sizing of energy ESSs plays a critical role as over-provisioning ESS size leads to under-utilizing costly assets and under-provisioning it taxes operation lifetime. This paper proposes a stochastic framework for analyzing the optimal size of energy storage systems. In this framework the demand of each customer is modeled stochastically and the aggregate demand is accommodated by a combination of power drawn from the grid and the storage unit when the demand exceeds grid capacity. In this framework an analytical method is developed, which provides tractable solution to the ESS sizing problem of interest. The results indicate that significant savings in terms of ESS size can be achieved.
AB - In future smart grids, energy storage systems (ESSs) are expected to play a key role in reducing peak hour electricity generation cost and the associated level of carbon emissions. Considering their high acquisition, operation, and maintenance costs, ESSs are likely to serve a large number of users. Hence, optimal sizing of energy ESSs plays a critical role as over-provisioning ESS size leads to under-utilizing costly assets and under-provisioning it taxes operation lifetime. This paper proposes a stochastic framework for analyzing the optimal size of energy storage systems. In this framework the demand of each customer is modeled stochastically and the aggregate demand is accommodated by a combination of power drawn from the grid and the storage unit when the demand exceeds grid capacity. In this framework an analytical method is developed, which provides tractable solution to the ESS sizing problem of interest. The results indicate that significant savings in terms of ESS size can be achieved.
UR - http://www.scopus.com/inward/record.url?scp=84953732771&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84953732771&partnerID=8YFLogxK
U2 - 10.1109/ICC.2015.7248415
DO - 10.1109/ICC.2015.7248415
M3 - Conference contribution
AN - SCOPUS:84953732771
SN - 9781467364324
VL - 2015-September
SP - 770
EP - 775
BT - IEEE International Conference on Communications
PB - Institute of Electrical and Electronics Engineers Inc.
ER -