TY - JOUR
T1 - A multi-period unit commitment problem under a new hybrid uncertainty set for a renewable energy source
AU - Melamed, Michal
AU - Ben-Tal, Aharon
AU - Golany, Boaz
N1 - Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2018/4
Y1 - 2018/4
N2 - Recently, there is a growing use of renewable energy in the electricity markets due to governmental subsidy aiming to comply with reduced greenhouse gas emission targets. Jointly with its highly volatile generation it greatly affects the operation planning of power plants, particularly, when addressing the unit commitment problem (UCP). The UCP is imperative in electric power system operations. It seeks an operating policy for a system of generating units over a multi-period finite horizon to meet the demand, subject to equipment and physical constraints. We consider a profit based UCP (PUCP) of an energy producer operating in a deregulated market aiming to maximize its profit facing uncertainty in both market price and wind generation. Here, we employ the robust optimization (RO) methodology which provides a feasible solution for any realization of the uncertain parameters within a bounded set, resulting in a guaranteed value of the objective function. This leads to a model, which is a bilinear mixed integer problem. The method we develop in this paper results in a problem, which is notably as difficult to solve without uncertainty. Furthermore, its resulting policy is more successful in meeting the demand for electricity than that of currently used methods.
AB - Recently, there is a growing use of renewable energy in the electricity markets due to governmental subsidy aiming to comply with reduced greenhouse gas emission targets. Jointly with its highly volatile generation it greatly affects the operation planning of power plants, particularly, when addressing the unit commitment problem (UCP). The UCP is imperative in electric power system operations. It seeks an operating policy for a system of generating units over a multi-period finite horizon to meet the demand, subject to equipment and physical constraints. We consider a profit based UCP (PUCP) of an energy producer operating in a deregulated market aiming to maximize its profit facing uncertainty in both market price and wind generation. Here, we employ the robust optimization (RO) methodology which provides a feasible solution for any realization of the uncertain parameters within a bounded set, resulting in a guaranteed value of the objective function. This leads to a model, which is a bilinear mixed integer problem. The method we develop in this paper results in a problem, which is notably as difficult to solve without uncertainty. Furthermore, its resulting policy is more successful in meeting the demand for electricity than that of currently used methods.
KW - Robust optimization
KW - Unit commitment
KW - Optimization under uncertainty
UR - http://www.scopus.com/inward/record.url?scp=84977594673&partnerID=8YFLogxK
U2 - 10.1016/j.renene.2016.05.095
DO - 10.1016/j.renene.2016.05.095
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
SN - 0960-1481
VL - 118
SP - 909
EP - 917
JO - Renewable Energy
JF - Renewable Energy
ER -