TY - JOUR
T1 - Integration of compressed air energy storage systems co-located with wind resources in the ERCOT transmission system
AU - Park, Heejung
AU - Baldick, Ross
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/9/1
Y1 - 2017/9/1
N2 - In this paper, we investigate optimal locations and capacity for integrating storage systems in the electric transmission grid to improve wind power production. The impacts on wind power production and conventional thermal generation due to operation of utility-scale storage systems are simulated. A compressed air energy storage (CAES) is chosen as an utility-scale storage technology, which can provide several hundred MWs of electric power. A mixed integer programming (MIP) is implemented for the mathematical formulation. The Electric Reliability Council of Texas (ERCOT) wind, load data and its simplified transmission system are used for a case study. To mandate wind power production, we apply 20% goal for renewable portfolio standard (RPS). Operation of 1350 MW CAESs improves wind power production and RPS target achievements, however, thermal generation does not significantly decrease under the given simulation condition.
AB - In this paper, we investigate optimal locations and capacity for integrating storage systems in the electric transmission grid to improve wind power production. The impacts on wind power production and conventional thermal generation due to operation of utility-scale storage systems are simulated. A compressed air energy storage (CAES) is chosen as an utility-scale storage technology, which can provide several hundred MWs of electric power. A mixed integer programming (MIP) is implemented for the mathematical formulation. The Electric Reliability Council of Texas (ERCOT) wind, load data and its simplified transmission system are used for a case study. To mandate wind power production, we apply 20% goal for renewable portfolio standard (RPS). Operation of 1350 MW CAESs improves wind power production and RPS target achievements, however, thermal generation does not significantly decrease under the given simulation condition.
KW - Compressed air storage (CAES)
KW - Energy storage system
KW - Optimal storage capacity
KW - Power system simulation
KW - Wind power
UR - http://www.scopus.com/inward/record.url?scp=85013335434&partnerID=8YFLogxK
U2 - 10.1016/j.ijepes.2017.01.021
DO - 10.1016/j.ijepes.2017.01.021
M3 - Article
AN - SCOPUS:85013335434
SN - 0142-0615
VL - 90
SP - 181
EP - 189
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
ER -
