TY - GEN
T1 - Optimal large-scale storage placement in single generator single load networks
AU - Thrampoulidis, Christos
AU - Bose, Subhonmesh
AU - Hassibi, Babak
PY - 2013
Y1 - 2013
N2 - Large-scale storage will play an increasingly important role in future power grids. As a result, how to optimally place storage in such networks, is an important investment problem. Furthermore, since the allocation of storage resources is static, i.e., it is not feasible to move storage around in a dynamic fashion, it is important to derive optimal such allocations that are robust to the values of the load profiles and other network parameters, such as the line flow constraints. For a single generator single load network, and for a cost of generation that is quadratic in the generation power, we show that, for any given amount of storage resources, placing storage at the demand node is always optimal. This result is true regardless of the demand profile and flow constraints, and therefore is robust. As a byproduct of this result, for a fixed demand profile, we characterize the dependence of the optimal production cost on the flow constraints and on the available storage resources.
AB - Large-scale storage will play an increasingly important role in future power grids. As a result, how to optimally place storage in such networks, is an important investment problem. Furthermore, since the allocation of storage resources is static, i.e., it is not feasible to move storage around in a dynamic fashion, it is important to derive optimal such allocations that are robust to the values of the load profiles and other network parameters, such as the line flow constraints. For a single generator single load network, and for a cost of generation that is quadratic in the generation power, we show that, for any given amount of storage resources, placing storage at the demand node is always optimal. This result is true regardless of the demand profile and flow constraints, and therefore is robust. As a byproduct of this result, for a fixed demand profile, we characterize the dependence of the optimal production cost on the flow constraints and on the available storage resources.
KW - Electricity storage
KW - load shifting
KW - storage placement
UR - http://www.scopus.com/inward/record.url?scp=84893199178&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893199178&partnerID=8YFLogxK
U2 - 10.1109/PESMG.2013.6672589
DO - 10.1109/PESMG.2013.6672589
M3 - Conference contribution
AN - SCOPUS:84893199178
SN - 9781479913039
T3 - IEEE Power and Energy Society General Meeting
BT - 2013 IEEE Power and Energy Society General Meeting, PES 2013
T2 - 2013 IEEE Power and Energy Society General Meeting, PES 2013
Y2 - 21 July 2013 through 25 July 2013
ER -