Open AccessEnergy management strategy for solid‐state transformer‐based solar charging station for electric vehicles in smart grids
Author(s) -
Zand Mohammad,
Nasab Morteza Azimi,
Sanjeevikumar Padmanaban,
Maroti Pandav Kiran,
HolmNielsen Jens Bo
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2020.0399
Subject(s) - photovoltaic system , state of charge , charging station , smart grid , news aggregator , energy management , grid , transformer , computer science , automotive engineering , energy management system , electrical engineering , engineering , electric vehicle , power (physics) , energy (signal processing) , voltage , battery (electricity) , statistics , physics , geometry , mathematics , quantum mechanics , operating system
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.