Abstract
The battery storage evaluation tool developed at Pacific Northwest National Laboratory is used to run a one-year simulation to evaluate the benefits of battery storage for multiple grid applications, including energy arbitrage, balancing service, capacity value, distribution system equipment deferral, and outage mitigation. This tool is based on the optimal control strategies to capture multiple services from a single energy storage device. In this control strategy, at each hour, a lookahead optimization is first formulated and solved to determine the battery base operating point. The minute-by-minute simulation is then performed to simulate the actual battery operation.
- Release Date:
- 2015-10-02
- Project Type:
- Closed Source
- Software Type:
- Scientific
- Programming Languages:
-
Matlab MCR
- Licenses:
-
Other (Commercial or Open-Source): https://www.pnnl.gov/available-technologies
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC05-76RL01830
- Code ID:
- 76612
- Site Accession Number:
- 5941; 30603-E
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Country of Origin:
- United States
Citation Formats
Wu, Di, and Meng, Da.
Battery Storage Evaluation Tool, version 1.x.
Computer Software.
USDOE.
02 Oct. 2015.
Web.
doi:10.11578/dc.20220718.77.
Wu, Di, & Meng, Da.
(2015, October 02).
Battery Storage Evaluation Tool, version 1.x.
[Computer software].
https://doi.org/10.11578/dc.20220718.77.
Wu, Di, and Meng, Da.
"Battery Storage Evaluation Tool, version 1.x." Computer software.
October 02, 2015.
https://doi.org/10.11578/dc.20220718.77.
@misc{
doecode_76612,
title = {Battery Storage Evaluation Tool, version 1.x},
author = {Wu, Di and Meng, Da},
abstractNote = {The battery storage evaluation tool developed at Pacific Northwest National Laboratory is used to run a one-year simulation to evaluate the benefits of battery storage for multiple grid applications, including energy arbitrage, balancing service, capacity value, distribution system equipment deferral, and outage mitigation. This tool is based on the optimal control strategies to capture multiple services from a single energy storage device. In this control strategy, at each hour, a lookahead optimization is first formulated and solved to determine the battery base operating point. The minute-by-minute simulation is then performed to simulate the actual battery operation.},
doi = {10.11578/dc.20220718.77},
url = {https://doi.org/10.11578/dc.20220718.77},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20220718.77}},
year = {2015},
month = {oct}
}