Energy Management Strategy for EV Charging Station with ESS and PV Considering PV Generation Uncertainty

ABSTRACT

   The current distribution may be unreliable and inefficient if a large amounts of electrical 

vehicle connect.This is because the grid technology currently in use has changed very little since 

it was developed.

   An electric vehicle, photovoltaic-based charging station equipped with an energy storage system 
   
is proposedand an algorithm for economic dispatch of the controllable resources in such a station to 

overcome the grid shortage is presented. 

   Mathematical models for a subsidy-free integration of photovoltaic and energy storage systems in 
   
a charging  station are developed along with a blueprint for optimizing the contract capacity of the 

charging station.

   A chance-constrained programming method is proposed on grounds of photovoltaic uncertainty to 
   
determine the optimal dispatched and contracted power from the utility, such that the charging cost 

of the electric vehicle is minimized. 

Simulations are conducted for a comparison with the existing method. Numerical results indicate that 

our proposed approach provides a range of contract capacity sizes that benefits both the aggregator 

of the charging station and electric vehicle users. 

   We showed also how the vehicles could be reliable agents in supporting the grid when photovoltaic 
   
   panels fail to be while minimizing their charging cost.

Index Terms— optimization, energy storage system, charging station, renewable energies,
vehicle-to-grid/grid-to-vehicle (V2G/G2V), confidence level, aggregator, chance-constrained programming