Multi-service battery energy storage system optimization and control

Hanif, Sarmad; Alam, Md Jan E.; Roshan, Kini L.; Bhatti, Bilal Ahmad; Bedoya, Juan C.

doi:10.1016/j.apenergy.2022.118614

Multi-service battery energy storage system optimization and control

Journal Article · Tue Feb 15 23:00:00 EST 2022 · Applied Energy

DOI:https://doi.org/10.1016/j.apenergy.2022.118614· OSTI ID:1855830

^[1]; Alam, Md Jan E. ^[1]; ^[1]; Bhatti, Bilal Ahmad ^[1]; ^[1]

Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

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

View Accepted Manuscript (DOE)

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1855830

Report Number(s):: PNNL-SA-165530

Journal Information:: Applied Energy, Journal Name: Applied Energy Vol. 311; ISSN 0306-2619

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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