Mixed integer nonlinear programming for Joint Coordination of Plug-in Electrical Vehicles Charging and Smart Grid Operations
For power grid operators and PEV users, this work proposes a solver for a specific optimization problem, but the contribution appears incremental.
The paper addresses joint coordination of PEV charging and grid power control to minimize charging and generation costs. A new solver for the resulting mixed integer nonlinear programming problem is proposed and shown to be efficient via simulations.
The problem of joint coordination of plug-in electric vehicles (PEVs) charging and grid power control is to minimize both PEVs charging cost and energy generation cost while meeting both residential and PEVs' power demands and suppressing the potential impact of PEVs integration. A bang-bang PEV charging strategy is adopted to exploit its simple online implementation, which requires computation of a mixed integer nonlinear programming problem (MINP) in binary variables of the PEV charging strategy and continuous variables of the grid voltages. A new solver for this MINP is proposed. Its efficiency is shown by numerical simulations.