Energy management strategy for solid‐state transformer‐based solar charging station for electric vehicles in smart grids. Issue 18 (16th February 2021)

• Record Type: Journal Article
• Authors: Zand, Mohammad; Nasab, Morteza Azimi; Sanjeevikumar, Padmanaban; Maroti, Pandav Kiran; Holm‐Nielsen, Jens Bo
• Is Part Of: IET renewable power generation. Volume 14:Issue 18(2020)
• Page Start: 3843
• Page End: 3852
• Publication Date: 2021-02-16
• Subjects: solar power stations -- optimisation -- energy management systems -- smart power grids -- photovoltaic power systems -- battery powered vehicles; energy management strategy -- solid‐state transformer‐based solar charging station -- smart grids -- solar power station design -- efficient EMS -- smart grid ancillary services -- optimal decision method -- energy bound calculation model -- upper bounds -- lower bounds -- flexible sources -- EBC results -- power order -- charge power allocation algorithm -- flexible electric vehicles -- EMS strategy -- real‐time energy management -- energy range -- real‐time power allocation -- charge stations -- sustaining power; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2020.0399
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract : 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.