A model for the efficient use of electricity produced from renewable energy sources for electric vehicle charging

A review on electric vehicles interacting with renewable energy in smart grid

“…Tushar et al [39], Schuller and Hoeffer [40], Fazelpour et al [41], Yi et al [42], Gottwalt et al [43], Wu et al [44], Strnad et al [45], Damiano et al [46], Borba et al [47], Zhu et al [48], Li et al [49], Battistelli et al [50], Mets et al [51], Pantoš [52] Emissions-aware EVs charging interacting with RESs…”

“…The research efforts of EVs interacting with RESs related to efficiency-aware objective in microgrid have been carried out in [39,44,45,48]. Tushar et al [39] develop an optimal scheduling for joint control electricity consumption of appliances and EVs.…”

“…Strnad et al [45] integrate thermal units, as well as a PV solar plant, BESS, a diesel power generator, and EVs charging stations into their considered microgrid model. They aim at maximizing the utilization of electricity generated by the PV solar plant and thermal units, which is used for charging EVs or BESS when there is energy generated electricity.…”

“…Tushar et al [39] Minimize imported electricity MILP IBM CPLEX Numerical simulations Schuller and Hoeffer [40] Maximize utilization Linear programming -Trace-based simulations Fazelpour et al [41] Minimize power loss -Genetic algorithms Numerical simulations Yi et al [42] Minimize loss energy Bipartite graph Heuristic Trace-based simulations Gottwalt et al [43] Maximize utilization Mixed-integer programming IBM CPLEX Trace-based simulations Wu et al [44] Optimize dispatch Statistics model Heuristic Numerical simulations Strnad et al [45] Maximize utilization -FICO Xpress Numerical simulations Damiano et al [46] Enhance exploitation -Heuristic Numerical simulations Borba et al [47] Maximize utilization Mixed-integer programming MESSAGE tool Trace-based simulations Zhu et al [48] Maximize utilization Semi-Markov decision process Heuristic Numerical simulations Li et al [49] Maximize utilization Stochastic programming GAMS Numerical simulations Battistelli et al [50] Optimize energy management Linear programming CPLEX Numerical simulations Mets et al [51] Maximize utilization Convex optimization Dual decomposition Numerical simulations Pantoš [52] Maximize utilization Linear programming Heuristic Numerical simulations which is impractical in real world situation. Meanwhile, through using their distributed algorithm, 68% of energy demand can be supplied.…”