TY - GEN
T1 - Day ahead schedule of remote microgrids with renewable energy sources considering battery lifetime
AU - Chalise, Santosh
AU - Tonkoski, Reinaldo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/3/12
Y1 - 2014/3/12
N2 - Remote microgrids are a viable option for electrification where the main grid expansion is either impossible or not economical. Typically, remote microgrid consists of diesel generator as a primary source of energy which has a high fuel cost. Renewable energy sources can be used to reduce the fuel consumption with proper coordination and scheduling methods. Storage devices, usually battery, used in remote microgrid are expensive and toxic in nature; therefore battery lifetime is another important parameter to be considered during microgrid scheduling. In this paper, four test cases were developed for the study of fuel consumption. Problems were formulated as mixed integer programming (MIP) and solved using GAMS/CPLEX 12.6 solver. Furthermore, the battery lifetime model was included in the optimization model and fuel consumption was compared with other cases. Results show the slight increment in fuel consumption when the battery lifetime model was included.
AB - Remote microgrids are a viable option for electrification where the main grid expansion is either impossible or not economical. Typically, remote microgrid consists of diesel generator as a primary source of energy which has a high fuel cost. Renewable energy sources can be used to reduce the fuel consumption with proper coordination and scheduling methods. Storage devices, usually battery, used in remote microgrid are expensive and toxic in nature; therefore battery lifetime is another important parameter to be considered during microgrid scheduling. In this paper, four test cases were developed for the study of fuel consumption. Problems were formulated as mixed integer programming (MIP) and solved using GAMS/CPLEX 12.6 solver. Furthermore, the battery lifetime model was included in the optimization model and fuel consumption was compared with other cases. Results show the slight increment in fuel consumption when the battery lifetime model was included.
KW - Battery life
KW - microgrid
KW - mixed integer programming
KW - multiobjective optimization
KW - photovoltaic
KW - renewable energy
UR - http://www.scopus.com/inward/record.url?scp=84946693410&partnerID=8YFLogxK
U2 - 10.1109/INDUSCON.2014.7059452
DO - 10.1109/INDUSCON.2014.7059452
M3 - Conference contribution
AN - SCOPUS:84946693410
T3 - 2014 11th IEEE/IAS International Conference on Industry Applications, IEEE INDUSCON 2014 - Electronic Proceedings
BT - 2014 11th IEEE/IAS International Conference on Industry Applications, IEEE INDUSCON 2014 - Electronic Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE/IAS International Conference on Industry Applications, IEEE INDUSCON 2014
Y2 - 7 December 2014 through 10 December 2014
ER -
