@inproceedings{c1249d1b24444fb88f6b15d582a24202,
title = "Optimal Sizing of Grid-Scale Battery Energy Storage Systems for Stacked Applications",
abstract = "Motivated by the rapid expansion of the utility-scale Battery Energy Storage System (BESS) in the U.S. energy market, this study presents a model aimed at mitigating the high investment costs associated with grid-scale BESS technologies. This model, formulated as mixed integer linear programming (MILP), optimizes the power rating and energy capacity of BESS for stacked grid services. It does this while taking into account BESS life cycle and longevity, using real-world historical data to manage the many constraints inherent in BESS scheduling. The objective is to lower BESS investment costs while ensuring profitable revenue. This model takes into account the energy market, the reserve market, and the 'pay for performance' frequency regulation market within the PJM Interconnection.",
keywords = "Battery Energy Storage Systems(BESS), Energy rating, Frequency regulation, Optimal size, Power rating, ancillary services, energy arbitrage",
author = "Alharbi, \{Abdullah M.\} and Gao, \{David Wenzhong\} and Hongxia Wang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 North American Power Symposium, NAPS 2023 ; Conference date: 15-10-2023 Through 17-10-2023",
year = "2023",
doi = "10.1109/NAPS58826.2023.10318684",
language = "English",
series = "2023 North American Power Symposium, NAPS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 North American Power Symposium, NAPS 2023",
address = "United States",
}