Grid Inertial Response-Based Probabilistic Determination of Energy Storage System Capacity Under High Solar Penetration
Abstract
It is well-known that responsive battery energy storage systems (BESSs) are an effective means to improve the grid inertial response to various disturbances including the variability of the renewable generation. One of the major issues associated with its implementation is the difficulty in determining the required BESS capacity mainly due to the large amount of inherent uncertainties that cannot be accounted for deterministically. In this study, a probabilistic approach is proposed to properly size the BESS from the perspective of the system inertial response, as an application of probabilistic risk assessment (PRA). The proposed approach enables a risk-informed decision-making process regarding (1) the acceptable level of solar penetration in a given system and (2) the desired BESS capacity (and minimum cost) to achieve an acceptable grid inertial response with a certain confidence level.
- Authors:
-
- Brookhaven National Lab. (BNL), Upton, NY (United States). Sustainable Energy Technologies Dept.
- Publication Date:
- Research Org.:
- Brookhaven National Laboratory (BNL), Upton, NY (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1221746
- Report Number(s):
- BNL-108301-2015-JA
Journal ID: ISSN 1949-3029; GT0300000; TRN: US1500735
- Grant/Contract Number:
- SC00112704
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- IEEE Transactions on Sustainable Energy
- Additional Journal Information:
- Journal Volume: 6; Journal Issue: 3; Journal ID: ISSN 1949-3029
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 25 ENERGY STORAGE
Citation Formats
Yue, Meng, and Wang, Xiaoyu. Grid Inertial Response-Based Probabilistic Determination of Energy Storage System Capacity Under High Solar Penetration. United States: N. p., 2015.
Web. doi:10.1109/TSTE.2014.2328298.
Yue, Meng, & Wang, Xiaoyu. Grid Inertial Response-Based Probabilistic Determination of Energy Storage System Capacity Under High Solar Penetration. United States. https://doi.org/10.1109/TSTE.2014.2328298
Yue, Meng, and Wang, Xiaoyu. 2015.
"Grid Inertial Response-Based Probabilistic Determination of Energy Storage System Capacity Under High Solar Penetration". United States. https://doi.org/10.1109/TSTE.2014.2328298. https://www.osti.gov/servlets/purl/1221746.
@article{osti_1221746,
title = {Grid Inertial Response-Based Probabilistic Determination of Energy Storage System Capacity Under High Solar Penetration},
author = {Yue, Meng and Wang, Xiaoyu},
abstractNote = {It is well-known that responsive battery energy storage systems (BESSs) are an effective means to improve the grid inertial response to various disturbances including the variability of the renewable generation. One of the major issues associated with its implementation is the difficulty in determining the required BESS capacity mainly due to the large amount of inherent uncertainties that cannot be accounted for deterministically. In this study, a probabilistic approach is proposed to properly size the BESS from the perspective of the system inertial response, as an application of probabilistic risk assessment (PRA). The proposed approach enables a risk-informed decision-making process regarding (1) the acceptable level of solar penetration in a given system and (2) the desired BESS capacity (and minimum cost) to achieve an acceptable grid inertial response with a certain confidence level.},
doi = {10.1109/TSTE.2014.2328298},
url = {https://www.osti.gov/biblio/1221746},
journal = {IEEE Transactions on Sustainable Energy},
issn = {1949-3029},
number = 3,
volume = 6,
place = {United States},
year = {Wed Jul 01 00:00:00 EDT 2015},
month = {Wed Jul 01 00:00:00 EDT 2015}
}
Web of Science
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