Multi-service battery energy storage system optimization and control

Sarmad Hanif, M.J.E. Alam, Kini Roshan, Bilal A. Bhatti and Juan C. Bedoya

Applied Energy, 2022, vol. 311, issue C, No S0306261922000885

Abstract: Battery energy storage systems (BESS) have become a fundamental part of modern power systems due to their ability to provide multiple grid services. As renewable penetration increases, BESS procurement is also expected to increase and is envisioned to play a systematic and strategic role in power systems planning and operation. Therefore, in this paper we present a multiple grid service procurement and operation approach for BESS, including energy arbitrage, reserve/regulation services, power factor correction, and demand management. The proposed framework considers an optimal multi-temporal dimension and is designed to be operable for both planning and real-time operation. Moreover, the nonlinearity inherent to BESS services and the uncertainty associated with market forecast variables are addressed using techniques such as polyhedral norms and robust optimization approaches. The developed model is tested using a utility-scaled BESS, and the results show the effectiveness of the systematic BESS multi-service planning and operation approach.

Keywords: Battery energy storage system (BESS); Convex optimization; Multi-service; Uncertainty; Real-time control (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261922000885
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:311:y:2022:i:c:s0306261922000885

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2022.118614

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().