TY - GEN
T1 - Increase the rate of utilization of Residential photovoltaic generation by EV charge-discharge control
AU - Osawa, M.
AU - Yoshimi, K.
AU - Yamashita, D.
AU - Yokoyama, R.
AU - Masuda, T.
AU - Kondou, H.
AU - Hirota, T.
PY - 2012
Y1 - 2012
N2 - Photovoltaic generation (PV) output power varies depending on the time, weather, and season. Especially, PV output power can be low in the night or under bad weather conditions. In these cases, an electric vehicle (EV) battery can serve as a substitute for the storage system, and enables to attain in-house generation power continuously regardless of these bad conditions. In this study, we constructed EV charge-discharge algorithm in an original way, which is applied to the house with residential PV, and we tried to improve the rate of local consumption of PV output, cut the power purchase cost from electrical power systems, and reduce CO2 emissions. Also, this EV charge-discharge algorithm was applied to the community which consists of ten houses, and appraised from the view of the rate of local consumption of PV output, power purchase cost, and CO2 reductions. As the result, we confirmed the improvement of local consumption rate of PV output, power purchase cost and CO2 emissions, by application of our algorithm. In addition, we estimated the advantage effect of the power interchange among houses in the community.
AB - Photovoltaic generation (PV) output power varies depending on the time, weather, and season. Especially, PV output power can be low in the night or under bad weather conditions. In these cases, an electric vehicle (EV) battery can serve as a substitute for the storage system, and enables to attain in-house generation power continuously regardless of these bad conditions. In this study, we constructed EV charge-discharge algorithm in an original way, which is applied to the house with residential PV, and we tried to improve the rate of local consumption of PV output, cut the power purchase cost from electrical power systems, and reduce CO2 emissions. Also, this EV charge-discharge algorithm was applied to the community which consists of ten houses, and appraised from the view of the rate of local consumption of PV output, power purchase cost, and CO2 reductions. As the result, we confirmed the improvement of local consumption rate of PV output, power purchase cost and CO2 emissions, by application of our algorithm. In addition, we estimated the advantage effect of the power interchange among houses in the community.
KW - Electric vehicles
KW - Energy management
KW - Energy storage Batteries
KW - Photovoltaic generation
KW - Power system simulation
KW - Smart grids
UR - http://www.scopus.com/inward/record.url?scp=84868583744&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868583744&partnerID=8YFLogxK
U2 - 10.1109/ISGT-Asia.2012.6303134
DO - 10.1109/ISGT-Asia.2012.6303134
M3 - Conference contribution
AN - SCOPUS:84868583744
SN - 9781467312219
BT - 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2012
T2 - 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia
Y2 - 21 May 2012 through 24 May 2012
ER -