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Title: Grid Inertial Response-Based Probabilistic Determination of Energy Storage System Capacity Under High Solar Penetration

Journal Article · · IEEE Transactions on Sustainable Energy
 [1];  [1]
  1. Brookhaven National Lab. (BNL), Upton, NY (United States). Sustainable Energy Technologies Dept.

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.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
SC00112704
OSTI ID:
1221746
Report Number(s):
BNL-108301-2015-JA; GT0300000; TRN: US1500735
Journal Information:
IEEE Transactions on Sustainable Energy, Vol. 6, Issue 3; ISSN 1949-3029
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 38 works
Citation information provided by
Web of Science

References (8)

Optimizing a Battery Energy Storage System for Frequency Control Application in an Isolated Power System journal August 2009
Incorporating Well-Being Considerations in Generating Systems Using Energy Storage journal March 2005
Dynamic sizing of energy storage for hedging wind power forecast uncertainty conference July 2009
A Stochastic Optimization Approach to Rating of Energy Storage Systems in Wind-Diesel Isolated Grids journal February 2009
Probabilistic Approach for Power Capacity Specification of Wind Energy Storage Systems journal March 2014
Probabilistic performance assessment of autonomous solar-wind energy conversion systems journal January 1999
A Probabilistic Method for Energy Storage Sizing Based on Wind Power Forecast Uncertainty journal August 2011
Pitfalls in risk calculations journal April 1981

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