TY - JOUR
T1 - Energy management strategy for solid-state transformer-based solar charging station for electric vehicles in smart grids
AU - Zand, Mohammad
AU - Nasab, Morteza Azimi
AU - Sanjeevikumar, Padmanaban
AU - Maroti, Pandav Kiran
AU - Holm-Nielsen, Jens Bo
N1 - Publisher Copyright:
© The Institution of Engineering and Technology 2020.
PY - 2020/12/21
Y1 - 2020/12/21
N2 - This study introduces a type of solid-state transformer (SST) for solar power station design and an energy management strategy (EMS) for the SST. The purpose of this study is to design a real efficient EMS for the photovoltaic-assisted charging station in smart grid ancillary services and apply the optimal decision method. Also, the energy bound calculation (EBC) model is proposed to find the upper and lower bounds of flexible sources. Also, taking into account the EBC results and the power order from the aggregator, a charge power allocation algorithm is designed to distribute the power of flexible electric vehicles (EVs). With the help of a case study and laboratory analysis, the proposed EMS strategy is effective in real-time energy management and is suitable for practical applications. The obtained results show the stable performance in the calculation of the energy range and real-time power allocation which improves the efficiency of the photovoltaic-based charging station. Also, the SST improves the operation of charge stations for supplying the sustaining power.
AB - This study introduces a type of solid-state transformer (SST) for solar power station design and an energy management strategy (EMS) for the SST. The purpose of this study is to design a real efficient EMS for the photovoltaic-assisted charging station in smart grid ancillary services and apply the optimal decision method. Also, the energy bound calculation (EBC) model is proposed to find the upper and lower bounds of flexible sources. Also, taking into account the EBC results and the power order from the aggregator, a charge power allocation algorithm is designed to distribute the power of flexible electric vehicles (EVs). With the help of a case study and laboratory analysis, the proposed EMS strategy is effective in real-time energy management and is suitable for practical applications. The obtained results show the stable performance in the calculation of the energy range and real-time power allocation which improves the efficiency of the photovoltaic-based charging station. Also, the SST improves the operation of charge stations for supplying the sustaining power.
UR - http://www.scopus.com/inward/record.url?scp=85103294354&partnerID=8YFLogxK
U2 - 10.1049/iet-rpg.2020.0399
DO - 10.1049/iet-rpg.2020.0399
M3 - Journal article
AN - SCOPUS:85103294354
SN - 1752-1416
VL - 14
SP - 3843
EP - 3852
JO - IET Renewable Power Generation
JF - IET Renewable Power Generation
IS - 18
ER -