DocumentCode :
70377
Title :
Grid Inertial Response-Based Probabilistic Determination of Energy Storage System Capacity Under High Solar Penetration
Author :
Meng Yue ; Xiaoyu Wang
Author_Institution :
Sustainable Energy Technol. Dept., Brookhaven Nat. Lab., Upton, NY, USA
Volume :
6
Issue :
3
fYear :
2015
fDate :
Jul-15
Firstpage :
1039
Lastpage :
1049
Abstract :
It is well known that responsive battery energy storage systems (BESSs) are 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.
Keywords :
decision making; energy storage; power grids; risk management; secondary cells; solar power; BESS; PRA; energy storage system capacity; grid inertial response; probabilistic determination; probabilistic risk assessment; renewable generation; responsive battery energy storage systems; risk-informed decision-making process; solar penetration; system inertial response; Clouds; Correlation; Generators; Probabilistic logic; Random variables; Transient analysis; Battery energy storage system (BESS); fast cloud transient; inertial response; probabilistic risk assessment (PRA); solar generation;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2014.2328298
Filename :
6844064
Link To Document :
بازگشت