TY - GEN
T1 - Energy Management of Smart Home by Model Predictive Control Based on EV State Prediction
AU - Ogata, Yuuki
AU - Namerikawa, Toru
PY - 2019/6
Y1 - 2019/6
N2 - The purpose of this paper is to minimize the total electricity cost while considering comfort in the home. We propose home energy management (HEMS) method by model predictive control (MPC) based on EV state prediction. If charging and discharging can be planned based on electric vehicle (EV) usage prediction, it can minimize the charging with an external charging station because it can be charged in advance at home. We introduce a model considering the passage of time in order to predict the use of EV. Finally, we confirm the validity of this research through numerical simulations.
AB - The purpose of this paper is to minimize the total electricity cost while considering comfort in the home. We propose home energy management (HEMS) method by model predictive control (MPC) based on EV state prediction. If charging and discharging can be planned based on electric vehicle (EV) usage prediction, it can minimize the charging with an external charging station because it can be charged in advance at home. We introduce a model considering the passage of time in order to predict the use of EV. Finally, we confirm the validity of this research through numerical simulations.
UR - http://www.scopus.com/inward/record.url?scp=85069913636&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069913636&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85069913636
T3 - 2019 12th Asian Control Conference, ASCC 2019
SP - 410
EP - 415
BT - 2019 12th Asian Control Conference, ASCC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th Asian Control Conference, ASCC 2019
Y2 - 9 June 2019 through 12 June 2019
ER -