Designing Test Methods for IT-Enabled Energy Storage System to Evaluate Energy Dynamics


Young Gon Kim, Dong Hoon Kim, Eun-Kyu Lee, Journal of Information Processing Systems Vol. 13, No. 6, pp. 1487-1495, Dec. 2017  

https://doi.org/10.3745/JIPS.01.0020
Keywords: Converged IT Service, Cyber-Physical System, Energy Dynamics, Energy Storage System, Microgrid, Test Method, Smart Grid
Fulltext:

Abstract

With increasing interests in renewables, more consumers are installing an energy storage system (ESS) in their backyards, and thus, the ESS will play a critical role in the emerging smart grid. Due to mechanical properties, however its operational dynamics must be well understood before connecting the ESS to the smart grid (and eventually to an IT system). To this end, we investigate charging and discharging processes in detail. This paper, then, proposes methods for four type tests (state of charge test, conversion efficiency test, response time test, and ramp rate test) that can assess the dynamics of the ESS. The proposed methods can capture accurate delay values of mechanical processes in the ESS, and it is expected for those values to help design real-time communication systems in the smart grid involving the ESS.


Statistics
Show / Hide Statistics

Statistics (Past 3 Years)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.




Cite this article
[APA Style]
Kim, Y., Kim, D., & Lee, E. (2017). Designing Test Methods for IT-Enabled Energy Storage System to Evaluate Energy Dynamics. Journal of Information Processing Systems, 13(6), 1487-1495. DOI: 10.3745/JIPS.01.0020.

[IEEE Style]
Y. G. Kim, D. H. Kim, E. Lee, "Designing Test Methods for IT-Enabled Energy Storage System to Evaluate Energy Dynamics," Journal of Information Processing Systems, vol. 13, no. 6, pp. 1487-1495, 2017. DOI: 10.3745/JIPS.01.0020.

[ACM Style]
Young Gon Kim, Dong Hoon Kim, and Eun-Kyu Lee. 2017. Designing Test Methods for IT-Enabled Energy Storage System to Evaluate Energy Dynamics. Journal of Information Processing Systems, 13, 6, (2017), 1487-1495. DOI: 10.3745/JIPS.01.0020.