Title :
Transmission expansion planning considering energy storage
Author :
MacRae, Cameron ; Ozlen, Melih ; Ernst, Andreas
Author_Institution :
Sch. of Math. & Geospatial Sci., RMIT Univ., Melbourne, VIC, Australia
Abstract :
In electricity transmission networks, energy storage systems (ESS) provide a means of upgrade deferral by smoothing supply and matching demand. We develop a mixed integer programming (MIP) extension to the transmission network expansion planning (TEP) problem that considers the installation and operation of ESS as well as additional circuits. The model is demonstrated on the well known Carver´s 6-bus and IEEE 25-bus test circuits for two 24 hour operating scenarios; a short peak, and a long peak. We show optimal location and capacity of storage is sensitive not only to cost, but also variability of demand in the network.
Keywords :
energy storage; integer programming; power transmission planning; time 24 hour; Computational modeling; Energy storage; Integrated circuit modeling; Investment; Mathematical model; Planning; Vectors; energy storage; optimization; power transmission;
Conference_Titel :
Power, Electronics and Computing (ROPEC), 2014 IEEE International Autumn Meeting on
Conference_Location :
Ixtapa
DOI :
10.1109/ROPEC.2014.7036327
