Open AccessStochastic planning of electric vehicle charging station integrated with photovoltaic and battery systems
Author(s) -
Yan Dongxiang,
Ma Chengbin
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.1737
Subject(s) - charging station , photovoltaic system , sizing , electric vehicle , battery (electricity) , automotive engineering , transformer , computer science , stochastic modelling , reliability engineering , power (physics) , engineering , electrical engineering , voltage , physics , quantum mechanics , art , statistics , mathematics , visual arts
Charging stations not only provide charging service to electric vehicles (EVs), but also integrate distributed energy sources. This integration requires an appropriate planning to achieve the future sustainable distribution network. Real EV charging demand is stochastic and affected by many uncertainties, which pose challenges to the planning of a charging station. This study presents a stochastic planning model of the EV charging station with photovoltaic (PV), battery and transformer, mainly considering the uncertainties from charging demand and PV power generation. Firstly, a comprehensive EV charging demand model is established through reflecting the coupling among the EV stochastic charging behaviour, charger specifications and EV charging assignment model. Then, the planning model is formulated to minimise the total cost of the charging station, where the uncertainties arising from EV charging are addressed in various constraints. Using this model, the optimal sizing of the charging station is determined, together with the associated optimal operation strategy. Finally, the effectiveness of the proposed model is validated by multiple case studies.