Citation

BibTex format

@article{Jabr:2014:10.1109/TPWRS.2014.2326557,
author = {Jabr, RA and Dzafic, I and Pal, BC},
doi = {10.1109/TPWRS.2014.2326557},
journal = {IEEE Transactions on Power Systems},
pages = {531--539},
title = {Robust Optimization of Storage Investment on Transmission Networks},
url = {http://dx.doi.org/10.1109/TPWRS.2014.2326557},
volume = {30},
year = {2014}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - This paper discusses the need for the integration of storage systems on transmission networks having renewable sources, and presents a tool for energy storage planning. The tool employs robust optimization to minimize the investment in storage units that guarantee a feasible system operation, without load or renewable power curtailment, for all scenarios in the convex hull of a discrete uncertainty set; it is termed ROSION—Robust Optimization of Storage Investment On Networks. The computational engine in ROSION is a specific tailored implementation of a column-and-constraint generation algorithm for two-stage robust optimization problems, where a lower and an upper bound on the optimal objective function value are successively calculated until convergence. The lower bound is computed using mixed-integer linear programming and the upper bound via linear programming applied to a sequence of similar problems. ROSION is demonstrated for storage planning on the IEEE 14-bus and 118-bus networks, and the robustness of the designs is validated via Monte Carlo simulation.
AU - Jabr,RA
AU - Dzafic,I
AU - Pal,BC
DO - 10.1109/TPWRS.2014.2326557
EP - 539
PY - 2014///
SN - 0885-8950
SP - 531
TI - Robust Optimization of Storage Investment on Transmission Networks
T2 - IEEE Transactions on Power Systems
UR - http://dx.doi.org/10.1109/TPWRS.2014.2326557
UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6824272&refinements=4291944246,4291944245&ranges=2014_2015_p_Publication_Year&matchBoolean=true&searchField=Search_All&queryText=(p_Authors:pal+b.)
UR - http://hdl.handle.net/10044/1/19451
VL - 30
ER -