Please use this identifier to cite or link to this item: https://doi.org/10.1109/PESGM.2012.6345647
Title: Optimal sizing of energy storage system for wind power plants
Authors: Shu, Z. 
Jirutitijaroen, P. 
Keywords: correlations
energy storages
Monte Carlo sampling
renewable energy
stochastic programming
wind power
Issue Date: 2012
Source: Shu, Z.,Jirutitijaroen, P. (2012). Optimal sizing of energy storage system for wind power plants. IEEE Power and Energy Society General Meeting : -. ScholarBank@NUS Repository. https://doi.org/10.1109/PESGM.2012.6345647
Abstract: This paper proposes a stochastic programming approach to the solution of sizing problem of energy storage system applied to grid-connected wind power plants. The objective is to maximize expected daily profit though time shifting of renewable energy production. The problem is formulated considering stochastic behaviors of renewable power as well as electricity prices. We apply stochastic programming framework with Sample Average Approximation (SAA). We conduct a case study using data from the Electric Council Reliability Council of Texas (ERCOT). It is shown that considerable profit can be achieved with a suitable energy storage size. © 2012 IEEE.
Source Title: IEEE Power and Energy Society General Meeting
URI: http://scholarbank.nus.edu.sg/handle/10635/71305
ISBN: 9781467327275
ISSN: 19449925
DOI: 10.1109/PESGM.2012.6345647
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